Relative Citation Research Articles

Comparative study of journal article scholarly activity: Pharmacy practice dual‐degree faculty versus single terminal‐degree faculty members

AbstractObjectiveThe goals of the 2005 National Institutes of Health (NIH) Roadmap of the Future of Pharmacy Colleges emphasized the importance of bidirectional information flow in translational research to enhance drug discovery and research. Many dual‐degree programs and pathways have been developed to meet this bidirectional information flow to enhance discovery and research, but limited data exists on the bibliometrics of these dual‐degree Department of Pharmacy Practice faculties. To determine whether dual‐degree programs enhance research, a four‐outcome bibliometric analysis of United States Departments of Pharmacy Practice tenure‐track (DPP‐TT) dual‐degree compared with DPP‐TT single terminal‐degree faculty was conducted over a 10‐year period.MethodsA search of PubMed of DPP‐TT single and dual‐degree faculty from January 10, 2010 to December 31, 2019 was performed. Faculty employed in DPP‐TT were determined through published rosters in the American Association of Colleges of Pharmacy (AACP) rosters or college/school internet sites. Department of Pharmacy Practice faculty members' number of publications, number of citations per publication, h‐index, and NIH iCite weighted Relative Citation Ratio (RCR) value were determined. Descriptive statistics and analysis of variance compared dual‐degree with single terminal‐degree DPP faculty data.ResultsNinety‐one institutions employed 348 DPP‐TT dual‐degree faculty that produced 7480 publications compared with 131 institutions with 1805 single terminal‐degree faculty of 12 670 publications. Dual‐degree DPP number of citations per publication (mean ± standard deviation [SD]) was 37.8 ± 86.8 with a journal impact factor (JIF) of 6.4 ± 14.3 compared to single‐degree of 24.7 ± 90.8 (p < 0.001) with a JIF of 4.7 ± 80.8 (p < 0.001). Dual‐degree faculty h‐index was 14.7 ± 12.5 with a mean iCite weighted RCR of 54.8 ± 87.6 compared to single‐degree faculty of 6.5 ± 8.9 (p < 0.001) with an RCR of 22.1 ± 65.3 (p < 0.001).ConclusionDepartment of Pharmacy Practice dual‐degree faculty have significantly higher bibliometrics compared with single‐degree DPP faculty.

Factors Associated with Research Productivity and National Institutes of Health Funding in Academic Otology.

Bibliometrics, such as the Hirsch index (h-index) and the more recently developed relative citation ratio (RCR), are utilized to evaluate research productivity. Our study evaluates demographics, research productivity, and National Institutes of Health (NIH) funding in academic otology. Academic otologists were identified, and their demographics were collected using institutional faculty profiles (N = 265). Funding data were obtained using the NIH Research Portfolio Online Reporting Tools Expenditures and Reports Database. The h-index was calculated using Scopus and mean (m-RCR) and weighted RCR (w-RCR) were calculated using the NIH iCite tool. H-index (aOR 1.18, 95% CI 1.10-1.27, p < 0.001), but not m-RCR (aOR 1.50, 95% CI 0.97-2.31, p = 0.069) or w-RCR (aOR 1.00, 95% CI 0.99-1.00, p = 0.231), was associated with receiving NIH funding. Men had greater h-index (16 vs. 9, p < 0.001) and w-RCR (51.8 vs. 23.0, p < 0.001), but not m-RCR (1.3 vs. 1.3, p = 0.269) than women. Higher academic rank was associated with greater h-index and w-RCR (p < 0.001). Among assistant professors, men had greater h-index than women (9.0 vs. 8.0, p = 0.025). At career duration 11-20 years, men had greater h-index (14.0 vs. 8.0, p = 0.009) and w-RCR (52.7 vs. 25.8, p = 0.022) than women. The h-index has a strong relationship with NIH funding in academic otology. Similar h-index, m-RCR, and w-RCR between men and women across most academic ranks and career durations suggests production of similarly impactful research. The m-RCR may correct some deficiencies of time-dependent bibliometrics and its consideration in academic promotion and research funding allocation may promote representation of women in otology. N/A Laryngoscope, 134:3786-3794, 2024.

Ethnobotanical survey of medicinal plants claimed by traditional herbal practitioners to manage digestive disorders in an oasis of Tafilalet-Morocco

To highlight the different medicinal plants traditionally used by the local citizens of the Tafilalet region to treat digestive disorders, floristic and ethnobotanical research was conducted in that region from April 2021 to July 2021. The ethnobotanical surveys were carried out using questionnaire sheets with 30 herbalists in different areas in Tafilalet (Errachidia, Rissani, and Erfoud). This study enabled us to gather extensive information about local traditions of therapeutic practices using medicinal plants on one hand and to make a floristic catalog of the same plants on the other hand. Thus, this work ended up by identifying 48 species belonging to 28 floristic families in which Apiaceae and Lamiaceae are the most dominant, and the Ranunculaceae exhibited the highest family use value (FUV=0.667). Of the species listed, Nigella sativa L. has the highest use value (UVs=0.677). The highest relative citation frequency is noted for Rosmarinus officinalis L. and Nigella sativa (RFC=0.233). The leaves (29.82%) are the most used part of plants, and a large part of the remedies are used in powder form (35%) and infusion (28%). The most treated digestive disorders are gastritis (26%) and abdominal pain (24%).

General Anesthesia Exposure in Infancy and Childhood: A 10-year Bibliometric Analysis

PurposeHeated discussions have divided healthcare providers and policy makers on the risks versus benefits of general anesthesia in pediatric populations. We conducted this study to provide a comprehensive bibliometric analysis of general anesthesia in this specific population over the past decade. DesignWe summarized and quantitatively analyzed the studies related to general anesthesia in children and infants over the past decade. MethodsUsing the Web of Science Core Collection as the data source, we analyzed the literature using CiteSpace software, focusing on authors, countries, institutions, keywords, and references to identify hotspots and predict research trends. FindingsA total of 2,364 publications on pediatric anesthesia were included in the analysis, and the number of related publications and citations steadily increased from 2013 to 2022. The United States was the leading country in terms of output, and Univ Toronto was the primary contributing institution. Co-citation analysis revealed that over the past decade, research has mainly focused on the long-term adverse effects of general anesthesia on neurodevelopment and acute perioperative crisis events. Keyword analysis identified infant sedation and drug selection and compatibility as promising areas for development. In addition, improving the quality of perioperative anesthesia will be a major research focus in the future. ConclusionsRecent research in pediatric anesthesia has focused on mitigating adverse effects of general anesthesia in infants and young children and studying pharmacological compatibility of anesthetics. Our study results would assist researchers and clinicians in understanding the current research status and optimizing clinical practice in this field.

Gender differences in scholarly productivity of early-career transfusion medicine physicians.

Promotion in academic medicine requires evidence of the creation and dissemination of scholarly output, primarily through peer-reviewed publications. Studies demonstrate that scholarly activity and impact are lower for women physicians than for men physicians, especially during the early stages of their academic careers. This report reviewed physicians' academic productivity after passing their Blood Banking/Transfusion Medicine (BBTM) subspecialty exam to determine if gender discrepancies exist. A cross-sectional analysis was designed to determine trends in scholarly activity for women physicians versus men physicians in BBTM. Indexed publications were reviewed using iCite, the National Institutes of Health (NIH) Office of Portfolio Analysis tool, from 1 January 2017 to 1 December 2021, for BBTM examinees who passed the sub-speciality fellowship exam in the years 2016 through 2018. Overall, women physicians had statistically significant fewer total career publications (median 6 vs. 9 cumulative papers, p = 0.03). Women published at a lower rate after passing BBTM boards, which was not statistically significant (0.7 vs. 1.3 publications per year). Other statistically significant findings include fewer early-career BBTM women physicians were first authors compared with men physicians (p = 0.03) and impact as assessed by relative citation ratio was higher for men (p = 0.01). This study demonstrates that there are gender differences in scholarly productivity and impact on early-career BBTM physicians. Given that this cohort of BBTM physicians are early-career professionals, the significant difference in first authorship publications between women and men physicians is especially concerning. Publication metrics should be followed to ensure equitable research environments for early-career BBTM physicians.

"Top 20" residency-trained academic orthopaedic surgeons have higher academic productivity and funding in their careers.

"Top 20" status on Doximity, an online networking service for medical professionals, is an indicator of the reputation of a residency program. The study assesses how training at a Top 20 (T20) orthopaedic residency program impacts career productivity and funding. Fellowship and Residency Electronic Interactive Database was used in 2022 to identify active orthopaedic residency programs. Demographic and training data was collected for each orthopaedic surgeon using institutional websites and Doximity. The Residency Navigator feature on Doximity was used to rank residency programs by "reputation." Programs were categorized as either T20 or non-T20. The relative citation ratio (RCR) was calculated using the NIH iCite tool and Hirsch index (h-index) was calculated using Scopus. Industry funding was collected from the Centers for Medicare & Medicaid Services Open Payments Program (CMS) for all available years (2014-2020). A total of 2812 academic orthopaedic surgeons were included in the study. Among academic orthopaedic surgeons in the United States, T20 trained orthopedists had more publications and citations (p < 0.001), along with higher h-indices (p < 0.001), RCR (p < 0.001), and industry funding (p = 0.043). Additionally, T20 trained orthopedists were 1.375 times more likely to obtain professor status (95% confidence interval: 1.150-1.645, p < 0.001). Even after propensity-matched analysis, T20 trained orthopedists maintained these differences. Training at a T20 residency program is associated with promotion, productivity, and funding. These findings are especially of concern to medical students who must consider the importance of a residency program's reputation when deciding where to apply for residency.

Ethnobotanical investigation of medicinal and aromatic plants used in the traditional treatment of COVID-19 in the rural commune of Bni Hadifa, province of Al Hoceima (Central Rif, Northern Morocco)

This ethnobotanical investigation was conducted in the rural commune of Bni Hadifa belonging to the Al Hoceima province (North of Morocco), to inventory the principal medicinal plants traditionally used to treat Covid-19. Ethnobotanical information was recorded from 84 inhabitants aged over 18 years in the different communes of the study area, using an ethnobotanical survey based on a questionnaire and semistructured interviews. Data were examined by surveying the relative citation frequency (RFC) and family importance value (FIV). The obtained results permitted the inventory of 40 aromatic and medicinal plants (MAPs) species owned by 20 families, the most important of which by their number of species were: Lamiaceae (12 species), Apiaceae (5 species), Asteraceae (3 species), and two species for each of Amaryllidaceae, Myrtaceae, and Rutaceae. Furthermore, the following species: Allium sativum, Thymus glandulosus, Lavandula dentata L, Citrus limon L, Eucalyptus globulus labill, Artemisia herba-alba, and Marrubium vulgare L were the most frequently cited by the RFC index. Leaves were found to be the common plant organ used to treat Covid-19, while decoction was the most frequent preparation mode. This study also showed that over 90% of the respondents proved the efficacy of the plants used against Covid-19. However, most of the users of these plants did not respect the administered doses and were unaware of the toxicity and lethal effects that could be caused by these plants when taking high doses. The results of this survey demonstrate that the plants used to combat Covid-19 may constitute a promising database for future research in the extraction and chemical analysis of potentially effective biomolecules against this virus.

Evaluation of Research Productivity Among Academic Cornea, External Diseases, and Refractive Surgery Ophthalmologists Using the Relative Citation Ratio.

The purpose of this study was to provide relative citation ratio (RCR) benchmark data for cornea and external diseases specialists. This is a cross-sectional bibliometric analysis. Subjects included were fellowship-trained cornea and external diseases faculty at Accreditation Council for Graduate Medical Education-accredited institutions in the United States. Academic specialists were indexed using the National Institutes of Health iCite Web site. Publication count, mean RCR score, and weighted RCR score were obtained between October 2022 and January 2023 by examining PubMed-listed publications from 1980 to 2022. Data were compared by sex, career duration, academic rank, and acquisition of a Doctor of Philosophy. The main outcome measures were publication count, mean RCR value, and weighted RCR value. The cohort included 602 specialists from 112 Accreditation Council for Graduate Medical Education-accredited institutions. These clinician-scientists produced highly impactful research with a median publication count of 15 (interquartile ranges 4-41), median RCR of 1.4 (interquartile ranges 0.91-1.88), and median-weighted RCR of 20.28 (5.3-66.69). Both academic rank and career length were associated with greater publication count and RCR values. Male sex was also associated with greater publications counts and RCR scores compared with female faculty. Acquisition of a Doctor of Philosophy was associated with greater publication counts and weighted RCR scores but no difference in mean RCR scores. Academic cornea and external diseases specialists conduct high-impact research, with a median RCR of 1.4, exceeding the NIH standard value of 1. These data provide RCR benchmark data for the field to inform self, institutional, and departmental evaluations. These results also highlight a significant gender disparity in the field necessitating efforts to increase female representation and ensure equal opportunities.

An appraisal of traditional knowledge of plant poisoning of livestock and its validation through acute toxicity assay in rats.

Background: Kashmir Himalaya hosts the most diverse and rich flora in the world, which serves as grazing land for millions of small ruminants in the area. While most plant species are beneficial, some can be poisonous, causing economic losses and animal health issues for livestock. Consequently, this study is the first comprehensive report on the traditional phyto-toxicological knowledge in District Muzaffarabad and the assessment of its authenticity through experimental studies in rats. Methods: The data regarding traditional knowledge was gathered from 70 key respondents through semi-structured interviews, which was quantitatively analyzed and authenticated through plant extract testing on Wistar female rats and comparison with published resources. Results: A total of 46 poisonous plant species belonging to 23 families and 38 genera were reported to be poisonous in the study area. Results revealed that leaves were the most toxic plant parts (24 species, 52.1%), followed by the whole plant (18 species, 39.1%), stem (17 species, 36.9%), and seeds (10 species, 21.7%). At the organ level, liver as most susceptible affected by 13 species (28.2%), followed by the gastrointestinal tract (15 species, 32.6%), nervous system (13 species, 8.2%), dermis (8 species, 17.3%), renal (7 species, 15.2%), respiratory (4 species, 8.7%), cardiovascular system (3 species, 6.5%), and reproductive system (2 species, 4.3%). The poisonous plant species with high Relative frequency citation (RFC) and fidelity level (FL) were Nerium oleander (RFC, 0.6; FL, 100), Lantana camara (RFC, 0.6; FL, 100), and Ricinus communis (RFC, 0.6; FL, 100). Experimental assessment of acute toxicity assay in rats revealed that Nerium oleander was the most toxic plant with LD50 of (4,000mg/kg), trailed by Ricinus communis (4,200mg/kg), L. camara (4,500mg/kg), and Datura stramonium (4,700mg/kg); however, other plants showed moderate to mild toxicity. The major clinical observations were anorexia, piloerection, dyspnea, salivation, tachypnea, constipation, diarrhea, tremor, itchiness, and dullness. Conclusion: This study showed that numerous poisonous plants pose a significant risk to the livestock industry within Himalayan territory, leading to substantial economic losses. Consequently, it is of utmost importance to conduct further comprehensive studies on the phytotoxicity of plants.

Bibliometric analysis of antimalarial drug resistance.

Malaria has always been a serious infectious disease prevalent in the world. Antimalarial drugs such as chloroquine and artemisinin have been the main compounds used to treat malaria. However, the massive use of this type of drugs accelerates the evolution and spread of malaria parasites, leading to the development of resistance. A large number of related data have been published by researchers in recent years. CiteSpace software has gained popularity among us researchers in recent years, because of its ability to help us obtain the core information we want in a mass of articles. In order to analyze the hotspots and develop trends in this field through visual analysis, this study used CiteSpace software to summarize the available data in the literature to provide insights. Relevant literature was collected from the Web of Science Core Collection (WOSCC) from 1 January 2015 to 29 March 2023. CiteSpace software and Microsoft Excel were used to analyze and present the data, respectively. A total of 2,561 literatures were retrieved and 2,559 literatures were included in the analysis after the removal of duplicates. An irrefutable witness of the ever-growing interest in the topic of antimalarial drug resistance could be expressed by the exponentially increased number of publications and related citations from 2015 to 2022, and its sustained growth trend by 2023. During the past 7 years, USA, Oxford University, and David A Fidock are the country, institution, and author with the most publications in this field of research, respectively. We focused on the references and keywords from literature and found that the research and development of new drugs is the newest hotspot in this field. A growing number of scientists are devoted to finding new antimalarial drugs. This study is the first visual metrological analysis of antimalarial drug resistance, using bibliometric methods. As a baseline information, it is important to analyze research output published globally on antimalarial drug resistance. In order to better understand the current research situation and future research plan agenda, such baseline data are needed accordingly.

Open access transition in obstetrics and gynecology journals-The international impact.

To study the impact of converting from subscription-based publishing to open access ("flipping") in three obstetrics and gynecology (OBGYN) journals. We compared original articles in three OBGYN journals during a matched subscription-based and open access publishing period. We analyzed citation metrics and country of authorship. Overall, 1522 studies were included; of those, 869 (57.1%) were before flipping and 653 (42.9%) were after flipping. There was a decrease in publications by lower-middle income countries from 7.7% in subscription-based publishing to 1.8% in open access (P < 0.001). There was a decrease in the proportion of articles from South Asia (2.5% vs 0.5%), North America (14.4% vs 9.4%), and the Middle East (7.4% vs 2.5%), and an increase in publications from East Asia and Pacific (17.4% vs 30.9%; P < 0.001). The relative citation ratio was higher in the open access period (median 1.65 vs 0.95, P < 0.001). The number of citations per year was higher in the open access period (median 3.0 vs 2.0, P < 0.001). There was an increase in the proportion of funded studies (from 40.2% to 47.8%; P = 0.003). Flipping to open access in OBGYN journals is associated with a citation advantage with major authorship changes, leading to inequity.

Research Productivity and Impact in Foot and Ankle Surgery: Insights From Relative Citation Ratio Analysis of Recent Fellowship Graduates.

The relative citation ratio (RCR), a novel bibliometric tool supported by the National Institute of Health, provides a standardized approach to evaluate research productivity and impact across different fields. This study aims to evaluate RCR of fellowship-trained foot and ankle orthopaedic surgeons to analyze the influence of various surgeon demographics. Fellow names listed on the American Orthopaedic Foot and Ankle Society website were extracted from the year 2008 to 2009 to the year 2022 to 2023. Demographic information for each fellow was collected including sex, degree type, and academic title. The iCite database developed by the National Institute of Health was used to obtain total publications, mean RCR, weighted RCR, and change in RCR after fellowship graduation for each fellow. Univariate and multivariate analysis was conducted to predict these four parameters based on sex, degree type, academic position, and career longevity. Of the 820 fellows, 674 (82%) were male. Most fellows (n = 587, 71%) did not go on to hold academic positions. Multivariate analysis revealed that male sex (β = 2.32, P < 0.001), holding an academic position (β = 6.44, P < 0.001), holding a PhD (β = 22.96, P < 0.001), and a shorter length time since graduation (β = -0.50, P < 0.001) were independent predictors of number of total publications. Holding a DO degree was an independent predictor of decreased mean RCR (β = 0.39, P = 0.039). Finally, multivariate analysis revealed that male sex (β = 4.05, P = 0.003), a career in academics (β = 4.61, P < 0.001), and a shorter time since graduation (β = -0.45, P = 0.001) were associated with a larger weighted RCR. The findings highlight the importance of addressing gender disparities and promoting research opportunities across different programs. Moreover, academic institutions should provide adequate support and mentorship to early-career foot and ankle-trained orthopaedic surgeons to foster sustained research productivity.

Normalization of direct citations for clustering in publication-level networks: evaluation of six approaches

AbstractClustering of publication networks is an efficient way to obtain classifications of large collections of research publications. Such classifications can be used to, e.g., detect research topics, normalize citation relations, or explore the publication output of a unit. Citation networks can be created using a variety of approaches. Best practices to obtain classifications using clustering have been investigated, in particular the performance of different publication-publication relatedness measures. However, evaluation of different approaches to normalization of citation relations have not been explored to the same extent. In this paper, we evaluate five approaches to normalization of direct citation relations with respect to clustering solution quality in four data sets. A sixth approach is evaluated using no normalization. To assess the quality of clustering solutions, we use three measures. (1) We compare the clustering solution to the reference lists of a set of publications using the Adjusted Rand Index. (2) Using the Silhouette width measure, we quantity to which extent the publications have relations to other clusters than the one they have been assigned to. (3) We propose a measure that captures publications that have probably been inaccurately assigned. The results clearly show that normalization is preferred over unnormalized direct citation relations. Furthermore, the results indicate that the fractional normalization approach, which can be considered the standard approach, causes specific inaccurate assignments, which we intend to address in this paper. The geometric normalization approach has a similar performance as the fractional approach regarding Adjusted Rand Index and Silhouette width but leads to fewer inaccurate assignments at moderate to high granularity levels. We therefore believe that the geometric approach may be preferred over the fractional approach.

Disruptive development path measurement for emerging technologies based on the patent citation network

Studying disruptive innovation development paths for emerging technologies helps trace and grasp key core technologies development, promoting innovation and development in emerging technologies and industries. This paper measures the innovation development path for emerging technology, including: (1) improving the triple citation network and quantifying disruptive measurement by designing a technological disruption model; (2) proposing a contraction method for the citation network from the dataset perspective; (3) proposing a method to extract the main path using technology disruption degree as a criterion for citation networks importance; (4) taking the sintering technology in 3-D printing technology as the empirical object with 12,662 patent families from 1997 to 2019. The empirical results indicate that the disruption degree value is determined by the transitive citation relationship without the co-citation relationship, and the closed-loop structures are effectively removed, thereby reducing the size of the dataset. The proposed disruption quantification method can support effective evaluation of technological innovation levels and decision-making for the research and development (R&D) direction and resource allocation.

Exploration of ethnomedicinal plants, diversity and their practices in human healthcare in Tehsil Mandan, District Buner, Khyber Pakhtunkhwa, Pakistan

This study aimed to document, compare, and highlight the ethnobotanical significance of medicinal plants in treating various diseases. The study involved interviewing 158 informants (19 females and 139 males), including traditional health practitioners, using semi-structured questionnaires and open-ended interviews. The study documented demographic information about the informants and gathered data on aspects such as the life form of the plants, specific plant parts used, methods of preparation, application modes, and the ethnomedicinal uses of the plants. Data analysis focused on important locally known medicinal plants, using quantitative indices such as Relative Frequency Citation (RFC), Use Value (UV), Informants Consensus Factor (ICF), and Fidelity Level (FL) to assess the validity and consistency of the collected ethnomedicinal data. The agreement and homogeneity of the data were evaluated among the present and previous studies and within indigenous communities using the Jaccard Index (JI). A total of 140 plant species from 98 genera and 65 families were collected, identified, and ethnobotanically evaluated. The reported ailments (30) were categorized into 23 disease categories based on the ICF values. Gastrointestinal and respiratory tract disorders had the highest number of reported plant species for treatment. The families Asteraceae and Lamiaceae were the most frequently reported. Herbs were the most commonly used life form (78 reports), followed by shrubs (32 reports). Leaves were the most commonly used plant part (53 reports), and decoction was the most common administration method (78 reports), followed by powder (25 reports). Eight plant species exhibited a 100% fidelity level due to their frequent use. UV ranged from 0.42 to 0.01, while Relative Frequency Citation (RFC) ranged from 0.98 to 0.75. The studies showed a maximum similarity JI of 46.5, followed by 35.6. Major conservation concerns included urbanization, browsing, overgrazing, invasion of exotic species, fuel-related activities, and lack of public awareness. In conclusion, the diverse range of medicinal plant species and associated traditional knowledge are integral to primary healthcare. Identifying plant species with high RFC and UV values is crucial for comprehensive phytochemical and pharmacological studies. Preserving and globally promoting ethnobotanical heritage is vital for analyzing phytochemicals and facilitating future drug discovery. Recognizing the value of this heritage enables us to harness its potential in advancing healthcare and pharmaceutical research.

Impact of scientific contributions by Italian researchers in the subfield of 'Sport Sciences' using some topic-specific keywords

Purpose: This study aims to assess the impact of Italian researchers in the field of Exercise and Sports Sciences (ESS) within the 'Sport Sciences' subfield from 2017 to 2022, utilizing a comprehensive analysis of the top 200 researchers through the Scopus Researcher Discovery function. Methods: The researchers were categorized by roles (Full Professors, Associate Professors, and Researchers) and by academic scientific discipline: Physical Training and Methodology (code M-EDF/01) and Sport Sciences and Methodology (code M-EDF/02).Trends of total and relative metrics (citations and h-index) over the period 2017-2022 were assessed using Spearman correlation. Non-parametric linear regression analysis was used for the predictive analysis of these trends. Results: Less than half of these researchers were directly framed with ESS. Among the 83 identified ESS researchers, a detailed breakdown revealed that 29% were Full Professors, 41% were Associate Professors, and 30% were Researchers. However, despite this minority representation, there was a positive and significant correlation between the total impact and the impact specifically within the 'Sport Sciences' subfield. The analysis of bibliometric parameters aggregated by ASD shows positive correlations between total and relative citations, as well as total and relative h-index. These findings suggest a proportional relationship between production and impact. Additionally, disaggregated analysis by ASD confirms these results. Regression analysis further indicates that the independent variables (total and relative citations, total and relative h-index) influence the dependent variable (year). Conclusions: This analysis suggests that despite the relative youth of the subfield compared to other related areas, Italian researchers in ESS contribute proportionally to the impact within the 'Sport Sciences' domain. The results demonstrate the congruent development of Sports science and highlight the need for further studies that can measure progress in the impact of scientific production.

Ethnomedicinal uses of plants for various diseases in the remote areas of Changa Manga Forest, Pakistan.

This study aims at reporting the indigenous knowledge of the medicinal flora from the inhabitants of surroundings of the World's largest artificial planted forest "Changa Manga", Pakistan. Data were collected by direct interviews and group meetings from 81 inhabitants including 32 local healers having information regarding the use of indigenous medicinal plants over a period of one year. Different statistical tools were applied to analyze the data including Frequency citation (FC), Relative frequency citation (RFC), Use Value, Factor of informants consensus and fidelity level. This study reported 73 plant species belonging to 37 plant families and 46 genera. The majority of plant species belong to compositae family. The most commonly used medicinal plants were P. hysterophorus L., P. dactylifera L., S. indicum L, P. harmala L., P. emblica L., and A. indica A.Juss. The greatest number of species was used to cure gastrointestinal disorders. The highest fidelity level (68.18%) was of E. helioscopia to cure gastrointestinal disorders. Maximum fresh uses (17) were reported by C. dactylon (L.) Pars. While the highest number of species reporting fresh uses in similar number was 13. In this study, five novel plants are being reported for the first time in Pakistan for their ethnomedicinal worth. Our data reflect unique usage of the medicinal plants in the study area. The statistical tools used in the study proved useful in pointing the most important and disease category specific plants. High use value plant and the new reported medicinal plants might prove an important source of the isolation of pharmacologically active compounds.

InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology.

Science has long been viewed as a key driver of economic growth and rising standards of living. Knowledge about how scientific advances support marketplace inventions is therefore essential for understanding the role of science in propelling real-world applications and technological progress. The increasing availability of large-scale datasets tracing scientific publications and patented inventions and the complex interactions among them offers us new opportunities to explore the evolving dual frontiers of science and technology at an unprecedented level of scale and detail. However, we lack suitable visual analytics approaches to analyze such complex interactions effectively. Here we introduce InnovationInsights, an interactive visual analysis system for researchers, research institutions, and policymakers to explore the complex linkages between science and technology, and to identify critical innovations, inventors, and potential partners. The system first identifies important associations between scientific papers and patented inventions through a set of statistical measures introduced by our experts from the field of the Science of Science. A series of visualization views are then used to present these associations in the data context. In particular, we introduce the Interplay Graph to visualize patterns and insights derived from the data, helping users effectively navigate citation relationships between papers and patents. This visualization thereby helps them identify the origins of technical inventions and the impact of scientific research. We evaluate the system through two case studies with experts followed by expert interviews. We further engage a premier research institution to test-run the system, helping its institution leaders to extract new insights for innovation. Through both the case studies and the engagement project, we find that our system not only meets our original goals of design, allowing users to better identify the sources of technical inventions and to understand the broad impact of scientific research; it also goes beyond these purposes to enable an array of new applications for researchers and research institutions, ranging from identifying untapped innovation potential within an institution to forging new collaboration opportunities between science and industry.

Evaluating patent technology transfer potential : A predictive model based on citation network analysis

Purpose: The citing of patents is an indicator of the transfer of technical knowledge and the influence of one technology on subsequent developments. The objective of this paper is to construct a predictive model based on patent and paper citation network to evaluate the potential for technology transfer of patents Methodology: This paper employs a binary classification algorithm from machine learning, specifically the decision tree algorithm, as its methodology. This has facilitated the creation of a predictive index system comprising 16 structured indicators across three dimensions: the degree of technological innovation, the quality of patent document, and the extent of intellectual property rights (IPR) protection. In order to construct the training sample set, patent transfer data for graphene sensors were employed as proxy variables for technology transfer potential. Findings: The findings of the study indicate that the dynamic characteristics of the citation network are a significant factor in the assessment of the potential for technology transfer. The most significant indicator affecting the transformation value of patents is inward degree centrality. Moreover, the results demonstrate that additional evaluation indicators, namely outward proximity centrality, family size, and selfcitation frequency, are also of significance. The patent technology transfer potential prediction model presented in this paper, which is based on citation network indicators and a decision tree algorithm, exhibits a high degree of predictive accuracy. Value: The value of this research lies in its novel perspective and method for patent valuation and technology transfer strategies. Furthermore, it offers a more comprehensive reflection of the inheritance and flow of patented technology by integrating the citation relationships between patents and scholarly papers. This makes it a valuable contribution to the understanding and promotion of the technology transfer process.

Global evolution of nanotechnology research with special emphasis on health sciences : A bibliometric approach

Purpose: The scientific impact of every scientific publication is widely measured through bibliometric analysis. In this article we have conducted evidence-based bibliometric analysis of articles on nanotechnology. Literature on nanotechnology applications that has been published in journals across all fields of science and technology. The data is retrived from Medline database via Pubmed., Total 267 publications were retrieved and analyzed, The New England Journal of Medicine achieved the highest citation, “Corcoy Rosa” is the most productive author. Most of the publications are classified as Randomized controlled trials, despite this, there hasn’t been a lot of indepth research on the publication trends of nanotechnology in journals of the health sciences. Objective: The objective of this study was to evaluate the publication trends in the field of Nanotechnology with special emphasis on health sciences. Methods: The data was acquired from the MEDLINE database via PubMed on January 4, 2021, covering the years 2001 through 2020. The articles were sorted according to the Publication Type, Number of Publications (Pub), Relative Citation Ratio (RCR) and Total Citations (TC) influence. The tables are created in excel spread sheet which is download from “iCite” tool. Highly cited journals and author tables are created usning “VOS Viewer” visualization bibliometric tool. Findings: A total number of 267 records were retrieved, and a systematic review was carried out over 20 years between 2001 and 2020. The total number of RCR and citations are 545.44 and 5307 respectively. The New England Journal of Medicine (NEJM) received more citation which is n=214. “Corcoy Rosa” was the most productive author during the study period, with n=9 publications with 608 citations aggregated. Most of the publications are classified as Randomized controlled trials, which account for 37% of all publications retrieved. The year 2019 has the most publications, with a total of n=29. European countries have leading publications and authors in this field of research; however, the rest of the world needs to apply more concentration to improve the development of this field. Limitations: The study was limited to twenty years period from 2001 to 2020, and the data was obtained from single database PubMed.