Relative Citation Research Articles

Characterizing the effect of the COVID-19 pandemic on the orthopaedic surgery literature

While the novel Coronavirus 2019 disease’s (COVID-19) impact on the practice of orthopaedics has been readily apparent, the effects of COVID-19 on the orthopaedic literature has not been studied. The objective of this paper is to analyze the COVID-19 pandemic’s impact on peer-reviewed articles published in the orthopaedic surgery literature. Using the Journal Citation Reports, twenty orthopaedic surgery journals with the highest impact factor in 2019 were selected and articles within those journals were sorted by mention of COVID-19. The Altmetric Attention Score (AAS) and citation count were collected and compared for COVID-19 versus non-COVID-19 related articles using the Mann-Whitney U test. Furthermore, within COVID-19 related articles, AAS and citation count were compared using Kruskal-Wallis test between sub specialty of orthopaedics, type of article, study type, and quarter of publication. The average AAS of COVID-19 articles was significantly higher than non-COVID articles (15 vs. 6, p=0.019). Within COVID-19 articles, those pertaining to spine and trauma had a significantly lower AAS than those pertaining to orthopaedics as a whole (20 & 6 vs 51, p<0.001). The average number of citations accrued by COVID-19 articles was significantly higher than non-COVID-19 articles (8 vs. 1, p<0.001). Original COVID-19 articles received significantly more citations than editorial articles (10 vs. 5, p<0.001), as well as those published in the second quarter of 2020 compared to those published later (p<0.001). Orthopaedic articles related to COVID-19 demonstrated a greater influence, dissemination, and impact than articles not related to COVID-19 as demonstrated by AAS and citations accrued.

A bibliometric analysis of artificial intelligence applications in macular edema: exploring research hotspots and Frontiers.

Background: Artificial intelligence (AI) is used in ophthalmological disease screening and diagnostics, medical image diagnostics, and predicting late-disease progression rates. We reviewed all AI publications associated with macular edema (ME) research Between 2011 and 2022 and performed modeling, quantitative, and qualitative investigations. Methods: On 1st February 2023, we screened the Web of Science Core Collection for AI applications related to ME, from which 297 studies were identified and analyzed (2011-2022). We collected information on: publications, institutions, country/region, keywords, journal name, references, and research hotspots. Literature clustering networks and Frontier knowledge bases were investigated using bibliometrix-BiblioShiny, VOSviewer, and CiteSpace bibliometric platforms. We used the R "bibliometrix" package to synopsize our observations, enumerate keywords, visualize collaboration networks between countries/regions, and generate a topic trends plot. VOSviewer was used to examine cooperation between institutions and identify citation relationships between journals. We used CiteSpace to identify clustering keywords over the timeline and identify keywords with the strongest citation bursts. Results: In total, 47 countries published AI studies related to ME; the United States had the highest H-index, thus the greatest influence. China and the United States cooperated most closely between all countries. Also, 613 institutions generated publications - the Medical University of Vienna had the highest number of studies. This publication record and H-index meant the university was the most influential in the ME field. Reference clusters were also categorized into 10 headings: retinal Optical Coherence Tomography (OCT) fluid detection, convolutional network models, deep learning (DL)-based single-shot predictions, retinal vascular disease, diabetic retinopathy (DR), convolutional neural networks (CNNs), automated macular pathology diagnosis, dry age-related macular degeneration (DARMD), class weight, and advanced DL architecture systems. Frontier keywords were represented by diabetic macular edema (DME) (2021-2022). Conclusion: Our review of the AI-related ME literature was comprehensive, systematic, and objective, and identified future trends and current hotspots. With increased DL outputs, the ME research focus has gradually shifted from manual ME examinations to automatic ME detection and associated symptoms. In this review, we present a comprehensive and dynamic overview of AI in ME and identify future research areas.

Natural therapies utilisation in Ranya, Kurdistan Region, Iraq

Natural products are an important way to treating the disease in the whole earth. It has been estimated that more than 70% of the earth population relies on natural products. Unfortunately, the knowledge is passed from generation to generation verbally without documentation. The study aims to document the natural therapies used by the Kurdish people in the treatment and management of various ailments. Non-purposive sampling was employed in the study with an in-depth interview guide. One hundred and thirteen respondents were interviewed from the period of September 2021-June 2022. Qualitatively, excel 2016 was used to calculate descriptive statistics of socio-demographic information of the respondents and quantitatively the data were subjected to the following indices: Use Value (UV) and Relative Frequency Citation (RFC). Fourty two medicinal plants were documented and used for the management of various ailments: diabetes, fever, immune booster, aphrodisiac, stomach pain, headache, fungal, and bacterial infections. Leaves were reported as the most used part of the plant (25.5 %), oral as the most form of administration (80.5%). Plants with 0.05 are considered with have the highest UV and 0.8 for RFC. Ranya has a varied range of medicinal plants, according to the current study, and the use of medicinal plants and plant-based therapies is still common in the area. The study aimed to comprehensively document the traditional medicinal plants utilised by the people of Ranya. It will serve as an avenue for further development of herbal formulations and modern medicines in the region.

Application of ethnobotanical indices to document the use of medicinal plants in Tehsil Kallar Syedan, District Rawalpindi, Punjab, Pakistan

Background. Ethnobotanical studies report the customary uses of plants used by the local communities across the world. The goal of present study was to census the ethno-medicinal uses of local plants used by the natives of Tehsil Kallar Syedan, District Rawalpindi by using quantitative ethnobotanical indices. Methodology. Ethnobotanical surveys were carried out during March 2018 to April, 2022 to document traditional uses of medicinal plants by using semi-structured questionnaires. The gathered data was examined by using quantitative indices comprising frequency of citation (FC), relative frequency citation (RFC), use value index (UV) and fidelity level (FL%). Results. In total, 169 medicinal plant species belonged to 136 genera and 54 families have been documented from this region which are being used to treat or prevent common diseases. The informants included people of different age groups. Poaceae was the most widely used family (17 species). Major life form of plants was herb (61%); while leaves (35%) were highly used in preparing recipes. RFC values ranged from 0.11 to 0.78; while UV ranged from 0.10 to 0.82. A total of 13 species showed highest FL of 100%. Most medicinal applications involved the whole plant (50.8%), although leaves (32.5%), roots (10.0%), flowers (8.2%), stems (5.9%), seeds (3.5%), bark (3.5%), fruit (1.7%), latex (1.7%), bulbs (1.1%), rhizomes (0.5%), and tubers (0.5%) were also used. Conclusion. This research appraisal provides some additional and novel use along with higher RFCs and UVs which may serve as benchmark for phytochemical analysis and novel therapeutic properties. Key words: Ethnobotanical indices, Traditional plants, Ethno-medical knowledge, Traditional medicines, Herbalists, Kallar Syedan

Quantitative ethnobotanical study of medicinal plants used by the indigenous communities of Shawal Valley, District North Waziristan, Pakistan

Background: The current survey aimed to assess the traditional knowledge and use of therapeutic plants to treat various respiratory disorders by traditional healers. The local communities of District North Waziristan are reliant on therapeutic plant species for their primary health care needs. Methods: Ethnobotanical data were collected through semi-structured interviews. A sum of 130 informants (107 male and 23 female) selected randomly. Ethnobotanical data was quantitatively analyzed by using Use Value (UV), Relative Citation of Frequency (RFC), and Fidelity Level (FL). Results: A total of 56 plants related to 32 plant families were recorded which were used to cure 24 various respiratory disorders. Lamiaceae (7 species) was the most prevalent plant family, followed by Asteraceae (5 species), Moraceae and solanaceae (4 species) each, 8 families have (2 species each), while the remaining 20 families has only (1 species each).The dominant growth form was herbs (53.57%), while leaves (28.57%) were the leading plant part used in remedies preparation for respiratory disorders. The dominant method of medications preparation was decoctions (42.86%), which were all administered orally. The plant species with highest use values were Ephedra procera (0.87), followed by Morus nigra (0.86), while the highest RFC values were recorded for Ephedra procera (0.36), followed Cydonia oblonga (0.35), Morus nigra (0.34). The therapeutic plant species with maximum use values reported in the survey may indicate the possible presence of important bioactive compounds which need a search for potential new drugs to treat various respiratory disorders. Conclusions: The study accomplishes that indigenous communities yet prefer therapeutic plants species over allopathic drug for curing different disorders. However this valuable traditional information is limited to elder people. So, attention is required to conserve this traditional knowledge.

PC38. The Relative Citation Ratio: Examining a Novel Measure of Research Productivity among Plastic and Orthopedic Hand Surgeons

PURPOSE: Measurement of academic output by surgeons is a major factor in research funding and promotion. Historically, the Hirsch index (h-index) has been utilized by many departments. This metric, however, has been re-examined due to concerns of not being field normalized, with subsequent inaccurate cross-specialty comparisons. The relative citation ratio (RCR) was recently developed by the National Institutes of Health to more effectively and accurately describe academic output for each medical specialty. The aim of this study is to assess the correlation of RCR to H-index within academic hand surgeons. METHODS: This study assessed over 200 hand surgeons associated with American Society for Surgery of the Hand and Accreditation Council for Graduate Medical Education certified hand surgery fellowships. Weighted RCR, mean RCR, max RCR were quantified using mean and weighted RCR data queried from the iCite database. H-indices were all determined from publicly available sources. RESULTS: We identified significant association between H-index and weighted RCR. In addition, we found that increased h-index and weighted RCR were significantly associated with elevated academic rank, between assistant/associate and associate/full professorship respectively. Of note, there were no differences seen in the mean RCR across ranks. CONCLUSION: Metrics of academic output by surgeons have critical weight in decisions around research funding and career trajectory. For hand surgeons, the RCR appears to function similarly to the h-index, identifying increased output associated with elevated academic rank. The lack of difference in mean RCR by rank may suggest that volume of publications remains incentivized in academic surgery.

Citation tracking for systematic literature searching: A scoping review.

Citation tracking (CT) collects references with citation relationships to pertinent references that are already known. This scoping review maps the benefit of and the tools and terminology used for CT in health-related systematic literature searching. We included methodological studies on evidence retrieval by CT in health-related literature searching without restrictions on study design, language, or publication date. We searched MEDLINE/Ovid, Web of Science Core Collection, CINAHL/EBSCOhost, LLISFT/EBSCOhost, LISTA/EBSCOhost, conducted web searching via Google Scholar, backward/forward CT of included studies and pertinent reviews, and contacting of experts. Two reviewers independently assessed eligibility. Data extraction and analysis were performed by one reviewer and checked by another. We screened 11,861 references and included 47 studies published between 1985 and 2021. Most studies (96%) assessed the benefit of CT either as supplementary or primary/stand-alone search method. Added value of CT for evidence retrieval was found by 96% of them. Science Citation Index and Social Sciences Citation Index were the most common citation indexes used. Application of multiple citation indexes in parallel, co-citing or co-cited references, CT iterations, or software tools was rare. CT terminology was heterogeneous and frequently ambiguous. The use of CT showed an added value in most of the identified studies; however, the benefit of CT in health-related systematic literature searching likely depends on multiple factors that could not be assessed with certainty. Application, terminology, and reporting are heterogeneous. Based on our results, we plan a Delphi study to develop recommendations for the use and reporting of CT.

Twitter Gynecologic Surgery Journal Club: Impact on Citation Scores and Social Media Attention

To study the impact of a Twitter-based gynecologic surgery journal club of articles published in the Journal of Minimally Invasive Gynecology (JMIG) on their social media attention and citation scores. A cross-sectional study. N/A. N/A. Comparison of citation and social media attention scores was conducted for all articles presented in the JMIG Twitter Journal Club (#JMIGjc), a monthly scientific discussion on Twitter of JMIG selected articles, between March 2018 and September 2021 (group A), with 2 matched control groups of other JMIG articles: group B, articles mentioned on social media but not promoted in any JMIG social media account, and group C, articles with no social media mentions and not presented in #JMIGjc. Matching was performed for publication year, design, and topic in a 1:1:1 ratio. Citation metrics included number of citations per year (CPY) and relative citation ratio (RCR). Altmetric Attention Score (AAS) was used to measure social media attention. This score tracks research articles' online activity from different sources such as social media platforms, blogs, and websites. We further compared group A with all JMIG articles published during the same period (group D). Thirty-nine articles were presented in the #JMIGjc (group A) and were matched to 39 articles in groups B and C. Median AAS was higher in group A than groups B and C (10.00 vs 3.00 vs 0, respectively, p <.001). CPY and RCR were similar among groups. Median AAS was higher in group A than group D (10.00 vs 1.00, p <.001), as were median CPY and RCR (3.00 vs 1.67, p=.001; 1.37 vs 0.89, p=.001, respectively). Although citation metrics were similar among groups, #JMIGjc articles had higher social media attention metrics than matched controls. Compared with all publications within the same journal, #JMIGjc articles resulted in higher citation metrics.

Indigenous knowledge and conservation status of wild plants collected from Garyaum, North Waziristan, Pakistan

Background: People still use plant-based medicine for their basic healthcare requirements despite having easy access to contemporary medications. Individuals are more dependent on natural remedies, especially in rural areas. In Garyaum, North Waziristan, Pakistan, this study intends to investigate the key native plants utilized in medicine and their applications for treating various illnesses. Objectives: The objectives of this study was to: (1) conduct a systematic examination of the wild plants utilized by the inhabitants of the study area; (2) collect indigenous knowledge concerning wild plants; (3) assess species with considerable cultural importance to the Garyaum inhabitants; and (4) document the conservation status of the collected plants in study area. Methods: Ethnobotanical data based on sociodemographic characteristics were collected using the protocol of (Martin 1995). Techniques included direct led field walks, focus groups, and semi-structured interviews. 95 participants including 81 men and 14 women were interviewed. Quantitative approaches, such as relative frequency citation (RFC), use value (UV), and fidelity level (FL) were also conducted. Results: The participants reported a total of 66 plant species, belonging to 49 genera and 28 families. Of the total reported plants, 47 were fodder species, 35 were medicinal species, 14 were timber species, 20 were fuel species, 11 were fruits species, 7 was vegetable species, 2 were condiment species, 9 were thatching species, 3 were ornamental species while 3 were poisonous in nature. The current findings revealed 45 species (68.18 %) as vulnerable, 9 species (13.63 %) as rare, 8 species (12.12 %) as endangered and 4 species (6.06 %) was found infrequent. None of the species was ranked in the dominant category (IUCN 2001) which clearly described the unpleasant situation of the local flora. Conclusion: It is concluded that local people still rely on plant-based medication for their basic medical requirements. The vast majority of the species are utilized as fuel, wood, and fodder. In addition, plant diversity is diminishing as a result of many anthropogenic influences, infrastructural expansion, and climate change as well. Hence, proper identification and cultivation of significant medicinal and aromatic plants, as well as appropriate conservation and management techniques, are urgently needed in the research region. And the value of floral diversity and conservation must be entrenched in local inhabitants' children. Keywords: Conservation status, Endangered species, Garyaum, Indigenous knowledge, Quantitative ethnobotany.

Abstract 4186: Underrepresentation of low- and middle-income country affiliated authors in NCI-supported cancer research

Abstract Introduction: We conducted a bibliometric analysis to assess authorship of recent publications involving collaborations in low- and middle-income countries (LMICs) supported by the National Cancer Institute (NCI) of the National Institutes of Health (NIH). Methods: We identified active NCI grants awarded directly to LMIC institutions or to US institutions with a collaborator site or sites exclusively in LMICs between 2015-2019 in NIH Query View Report (QVR). Grants were linked to resulting publications using Dimensions for NIH. Because grants may have been active in 2015 while beginning in earlier years, we analyzed any linked publications from 2011 to 2020. Publications with missing author information were excluded. Author institutional affiliation was used to classify author country income level as defined by the World Bank. Authors with multiple institutional affiliations from a high-income country (HIC) and LMIC were classified as such. Relative citation ratio (RCR) and Altmetric data from Dimensions were used to compare citation impact measures using the Wilcoxon rank sum test. Results: NCI funded 159 grants to US institutions exclusively with LMIC collaborators and five awards directly to institutions in LMICs from 2015 to 2019, resulting in 2,428 publications between 2011 and 2020, of which 49% had at least one author affiliated with an LMIC institution. Of all publications, 78% and 83% had a first and last author with high-income country (HIC) affiliation, respectively. Publications with HIC-affiliated last authors had significantly higher median RCR and Altmetric attention scores than publications with LMIC-affiliated last authors (p=0.0134 and p=0.0004, respectively). Publications with HIC-affiliated first authors had significantly higher Altmetric scores than publications with LMIC-affiliated first authors (p=0.001). Conclusion: LMIC-affiliated authors are represented on only approximately half of publications resulting from NCI grants awarded directly to LMIC institutions or to US institutions with LMIC collaborators, and rarely in the first or last author position. LMIC-affiliated authors also receive less bibliometric attention when represented. Increased scientific capacity and more equitable collaboration should be critical priorities for the cancer research community working in LMICs moving forward. Citation Format: Linsey Eldridge, Elise Garton, Kalina Duncan, Satish Gopal. Underrepresentation of low- and middle-income country affiliated authors in NCI-supported cancer research. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4186.

Effects of COVID-19 and vaccination on the human immune system: cases of lymphopenia and autoimmunity

Effects of COVID-19 and vaccination on the human immune system: cases of lymphopenia and autoimmunity

Gamification in education: A citation network analysis using CitNetExplorer

Gaming is becoming a popular method of engaging students in learning processes across all levels of the educational community. The effective integration of gaming activities into course curricula has the potential to enhance student learning, motivation, and knowledge acquisition in a range of disciplines. However, gamification of education is not without its opponents, with many educators concerned about the negative impacts of game use on effective learning. This study enhances our understanding of contemporary practices related to the areas, usage and characteristics of gamification in education. It is of particular relevance to educational institutions with a focus on developing innovative teaching methods and curricula that utilize gamification techniques in a multi-disciplinary, cross-national context across all stages of formal learning. Through the use of bibliometric analysis techniques, our study of the citation relations of 3,617 publications identified ten prominent themes dominated by gamification: mobile gaming, physical education, health and medicine, business, learning performance, programming and computing, English language, teacher adoption, primary &amp;amp; secondary education, and mathematics. Clear evidence of increased student motivation to learn and improved course results were evident in the examined literature. This study will benefit &lt;i&gt;serious&lt;/i&gt; game designers, educators, and educational institutions to develop more inclusive and engaging pedagogies that exploit the ubiquitous availability of gaming technologies for inclusion in more traditional course delivery methods.

Library History as a Community

Library History as a Community

High-cited Publications from the Indian Orthopedic Research in the Last Two Decades

Objective: The high-cited publications (HCPs) (with 50 or more citations) on orthopedic research from India were analyzed on various parameters. Methodology: The HCPs that were published between 2002 and 2021, on the Indian orthopedic research and indexed in the Scopus database were evaluated on various parameters. A network analysis was used to evaluate and visualize the collaborative interaction among the most productive organizations, authors, and keywords using VOSviewer and Biblioshyn software. Results: Of the total 4606 publications, 179 (3.88%) were HCPs, that were cited 22767 times (averaging 127.19 citations per publication). An external funding was received in 24.58% of publications and 36.87% of publications had an international collaboration. The most productive organizations were the Indian Institute of Science – Bengaluru (n = 11), All India Institute of Medical Sciences – New Delhi, and Amrita Institute of Medical Sciences – Kochi (n = 8 each) and the most impactful organizations in terms of citations per paper and relative citation index were Vellore Institute of Technology – Vellore, TIET – Patiala, and Lovely Professional University. The most productive authors were K. Chatterjee, D. Lahiri, and R. Vaishya. The most impactful authors were P. Mukherjee, S. Rajasekaran, and J. N. Babu in terms of citations per paper and relative citation index. Delhi was the epicenter of research and publications (n = 27). Material science and medicine contributed the largest number of publications (n = 77 and n = 73), followed by Engineering (n = 51). Treatment and clinical studies accounted maximally (24.58% and 8.38%) and hydroxyapatite (n = 40) was the most significant keyword appearing in the literature. Conclusion: This study provided an insight into understanding of research status including trends identified and studied the most influential contributions and performance of Indian organizations and authors and indicated broad and narrow subject fields contributing to this medical specialty. It gives some ideas about past, present, and future hotspots in research.

Ethnobotanical inventory and medicinal applications of plants used by the local people of Cholistan desert, Pakistan

Background: The Cholistan desert has been inhabited by people who have a long tradition of utilizing medicinal plants to heal human diseases. The current study includes a detailed ethnobotanical inventory and the traditional therapeutic applications of medicinal plants in the Cholistan desert. Methods: The primary data was obtained through field observations, interviews, and questionnaires between December 2021 and March 2022. Informant Consensus Factor (ICF), Relative frequency citation (RFCs), and fidelity level (FL) were used to access the relevance of medicinal plants. Pearson’s chi-square test, One-way ANOVA and multiple logistic regression were performed to compare indigenous knowledge among respondents of various socio-demographic groups. Results: 93 plants from 31 families were recorded. The Fic was calculated for sixteen different disease categories value range (0.82 to 0.50). Heliotropium strigosum, Grewia villosa, and Capparis decidua exhibited high RFCs value (0.49). The FL of Chenopodium album and Farsetia hamiltonii were 92.9 and 91.4%. Gender, age, educational status, and source of livelihood showed a significant positive impact (p-value &lt; 0.001) on the respondents' indigenous knowledge about medicinal plants. Multiple logistic regression analysis confirmed that gender and education significantly affect (p-value &lt; 0.001) the level of respondents’ indigenous knowledge followed by age and source of livelihood. Conclusion: This investigation revealed that traditional medicine based on ancient indigenous knowledge is still practiced as the first line of health care in the study area. Women are having vast ethnobotanical knowledge as compared to men and there is a significant gap in transmission of information from elder to younger generations. Keywords: Medicinal plants, Indigenous Knowledge, Ethnobotanical indices, Socio-demographic factors, Regression analysis

Global productivity and research trends of colorectal carcinoma: A scientometric analysis of studies published between 1980 and 2021.

Although colorectal cancer (CRC) is a serious cause of death and has a significant impact on patients' quality of life and incidence rate of CRC has increased among the younger populations, bibliometric research of CRC has not been conducted yet. To perform a comprehensive analysis of scientific publications on CRC using various statistical and bibliometric techniques. Publications on CRC published between 1980 and 2021 were downloaded from the Web of Science database and analyzed using statistical methods. The trending topics, collaborations among countries, and citation relationships were analyzed using bibliometric network visualization mapping. The number of articles to be probably published in the next 5 years was estimated using the exponential smoothing estimator. The Spearman's correlation rank correlation coefficient was used to analyze the correlations among the variables. A total of 122,717 publications were found in the fields of oncology, gastroenterology, hepatology, and surgery. Of the published articles, 64,774 publications were research articles. The top five countries that contributed the most to the literature were the USA (16,604; 25.6%), China (10,567; 16.3%), Japan (7932; 12.2%), the UK (5009; 7.1%), and Italy (4287; 6.6%). The most prolific author, institution, and journal in the field of CRC were Zhang Y (n = 331), University of Texas System (n = 1646), and Diseases of the Colon and Rectum (n = 2090), respectively. The most influential journal based on the average number of citations received per article was CA-A Cancer Journal for Clinicians (citations per article; 286). There was a significant positive correlation between the number of articles produced by the countries on CRC and gross domestic product and human development index (r = 0.726, P < .001; r = 0.658, P < .001, respectively). Additionally, a significant moderate correlation of CRC was found with gross domestic product per capita (r = 0.711, P < .001). Keywords like overall survival, neoadjuvant chemoradiotherapy, locally advanced rectal cancer, robotic surgery, anastomotic leakage, chemoradiotherapy, metastatic colorectal cancer, KRAS, meta-analysis, colorectal surgery, and laparoscopic surgery were studied.

The Correlation between Altmetric Attention Score and Traditional Bibliometrics in Top Nursing Journal Articles

Background. Altmetric Attention Score (AAS) is a quantitative measurement of the online impact of research and has a potential correlation with traditional bibliometrics. However, the correlation for nursing journal articles is still unknown. The objective of the study was to analyze the correlation between AAS and traditional bibliometrics in the top nursing journal articles. Materials and Methods. Articles published in top nursing journals (the journals with the top 20 5-year impact factors) from 2010 to 2019 were included. The correlations between AAS and citations, AAS and Relative Citation Ratio (RCR) score, AAS and Category Normalized Citation Impact (CNCI) value, and AAS and impact factors were analyzed. Statistical analyses were performed using Stata 25.0 software. Results. A total of 15,212 journal articles were included in the study. Very weak correlations were found between AASs and citations [0.124 (95% CI, 0.108–0.14)], AASs and RCRs [0.26 (95% CI, 0.244–0.275)], and AASs and CNCIs [0.207 (95% CI, 0.192–0.223)]. The weak correlations were also found between AASs and impact factors in several journals. The weak correlations between AASs and citations, AASs and CNCIs, and AASs and RCRs were also found for most journals based on subgroup analysis. Conclusions. There is very weak correlations between AASs and traditional bibliometrics in top nursing journal articles. More studies should be conducted to assess how AAS influence bibliometrics, and how they can help manage nursing journal articles and research.

Impact of National Institutes of Health and Food and Drug Administration Tobacco Research Funding: A Bibliometrics Analyses.

Conduct bibliometric analyses documenting the output of National Institutes of Health (NIH) tobacco-related and Food and Drug Administration (FDA) tobacco regulatory science (FDA-TRS) research portfolios. PubMed identifiers for publications between 2015 and 2020 citing tobacco funding by NIH and/or FDA were imported into NIH iCite generating measures of productivity and influence, including number of citations, journal, relative citation ratios (RCR), and comparison of research influence across Web of Science (WoS) disciplines. Coauthorship and measures of centrality among and between NIH and FDA-supported investigators gauged collaboration. Between FY 2015 and 2020, 8160 publications cited funding from NIH tobacco-related grants, 1776 cited FDA-TRS grants and 496 cited Common funding (ie, both NIH and FDA-TRS funding). The proportion of publications citing NIH grants declined while those citing FDA-TRS or Common funding rose significantly. Publications citing Common funding showed the highest influence (mean RCR = 2.52). Publications citing FDA-TRS funding displayed higher median RCRs than publications citing NIH funding in most WoS categories. Higher translational progress was estimated over time for FDA-TRS and Common publications compared to NIH publications. Authors citing Common funding scored highest across all collaboration measures. This study demonstrates the high bibliometric output of tobacco research overall. The rise in publications citing FDA-TRS and Common likely reflects increased funding for TRS research. Higher RCRs across WoS subject categories and trends towards human translation among FDA-TRS and Common publications indicate focus on research to inform regulation. This analysis suggests that FDA support for TRS has expanded the field of tobacco control resulting in sustained productivity, influence, and collaboration. This paper is the first effort to better describe the impact of tobacco research resulting from the addition of FDA funding for TRS in the past decade. The analysis provides impetus for further investigation into the publication topics and their focus which would offer insight into the specific evidence generated on tobacco control and regulation.

Collaboration prediction based on multilayer all-author tripartite citation networks: A case study of gene editing

Academic collaboration prediction is considered to be an important way to help scholars expand their research horizons and explore a vast and suitable range of partners. However, existing studies mainly rely on historical collaborations for future predictions, which has limitations in digging into credible collaboration possibilities in a wide range of cross-disciplinary contexts. In view of this, this study tries to combine three typical citation relationships (including direct citation, co-citation, and coupling) to predict prospective collaborations based on citation information that reflects the characteristics of scholars’ knowledge structure and research habits, which is supposed to provide supplement and extension for traditional implementation. To this end, we construct all-author tripartite citation networks based on the bibliographic data in the field of gene editing, and apply the Node2vec and Multi-node2vec algorithms to predict collaborations between authors in both single and multiple layers. According to compare with that of link prediction indicators (including CN, AA, PA and RA, etc.) commonly used for traditional collaboration networks, it is found that the prediction results in the multilayer all-author tripartite citation network should be relatively more accurate. The results will be helpful for scholars in the field of gene editing to explore potential collaborators with an implicit research connection.

Exploring the clinical translation intensity of papers published by the world's top scientists in basic medicine.

The online version contains supplementary material available at 10.1007/s11192-023-04634-4.