Higher Citation Rates Research Articles

Global Research Trends of Herbal Medicine for Pain in Three Decades (1990-2019): A Bibliometric Analysis.

PurposeThe aim of this study was to explore the global research trends of herbal medicine for pain from 1990 to 2019, using bibliometric methods, and explore international collaborations, intellectual structure, the evolution of active topics, emerging trends, and research frontiers.MethodsArticles on herbal medicine for pain were retrieved from WoSCC. Two information visualization softwares including CiteSpace and HistCite were used to process bibliographic catalogs. Identification of international collaborations, intellectual structure, the evolution of active topics, emerging trends, and research frontiers were performed based on results from bibliometric analysis.ResultsA total of 2986 original articles published between 1990 and 2019 were identified based on the inclusion criteria. The number of publications on herbal medicine for pain in WoSCC significantly increased. China ranked highest in the number of scientific outputs; however, articles with the highest citation rates were found to be from the United States. China–Japan reported the most active collaborations, whereas Kyung Hee University from South Korea was the most productive institution. Zhang Y was the most productive author, whereas research by Sherman KJ and Vane JR had the highest influence. Journal of Ethnopharmacology was the most active journal, whereas Integrative and Complementary Medicine was the most active research area. History of herbal medicine for pain research comprises three major phases of activities. The main points of focus of bibliometric analysis of herbal medicine for pain include “knee osteoarthritis”, “cancer”, “low back pain”, etc.. Moreover, research on mechanisms of action of herbal medicine for pain remains at the forefront of this field.ConclusionThis paper provides a basis for future development of research on herbal medicine for pain, which may help researchers explore new directions for future research and identify new perspectives on potential collaborations in this field.

Only two out of five articles by New Zealand researchers are free-to-access: a multiple API study of access, citations, cost of Article Processing Charges (APC), and the potential to increase the proportion of open access.

We studied journal articles published by researchers at all eight New Zealand universities in 2017 to determine how many were freely accessible on the web. We wrote software code to harvest data from multiple sources, code that we now share to enable others to reproduce our work on their own sample set. In May 2019, we ran our code to determine which of the 2017 articles were open at that time and by what method; where those articles would have incurred an Article Processing Charge (APC) we calculated the cost if those charges had been paid. Where articles were not freely available we determined whether the policies of publishers in each case would have allowed deposit in a non-commercial repository (Green open access). We also examined citation rates for different types of access. We found that, of our 2017 sample set, about two out of every five articles were freely accessible without payment or subscription (41%). Where research was explicitly said to be funded by New Zealand’s major research funding agencies, the proportion was slightly higher at 45%. Where open articles would have incurred an APC we estimated an average cost per article of USD1,682 (for publications where all articles require an APC, that is, Gold open access) and USD2,558 (where APC payment is optional, Hybrid open access) at a total estimated cost of USD1.45m. Of the paid options, Gold is by far more common for New Zealand researchers (82% Gold, 18% Hybrid). In terms of citations, our analysis aligned with previous studies that suggest a correlation between publications being freely accessible and, on balance, slightly higher rates of citation. This is not seen across all types of open access, however, with Diamond OA achieving the lowest rates. Where articles were not freely accessible we found that a very large majority of them (88% or 3089 publications) could have been legally deposited in an institutional repository. Similarly, only in a very small number of cases had a version deposited in the repository of a New Zealand university made the difference between the publication being freely accessible or not (125 publications). Given that most New Zealand researchers support research being open, there is clearly a large gap between belief and practice in New Zealand’s research ecosystem.

Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications

Abstract Chatbots are becoming a common trend in the service industry, education, and daily life. Increasing evidence has shown that chatbots have the potential to change the way people learn and search for information in human behavior. However, a systematic review of chatbot-related human behavior research with high citation rates has not been performed. Papers with high citation rates represent the latest changes in a particular research field, and reflect the current issues or research trends. By reading highly cited papers, researchers can identify important research questions. Therefore, this article presents a systematic literature review exploring the latest changes in chatbot research, and reviews the top 100 highly cited articles. The review shows that the highly cited chatbot-related studies have proposed new conversation strategies and compared different modes of human–human online conversations and human–chatbot conversations to find more effective methods of online communication. In addition, existing research has focused on high-level statistical performance and system development and testing. The findings also show that chatbots have started to be applied to the field of education, and there is much potential for the use of chatbots to improve the learning process and learning outcomes.

Análise da representação da informação na Web of Science: um estudo a partir do domínio de nutrição

Introdução: A motivação do estudo é entender se as palavras-chave e as keywords plus dos artigos da área de Nutrição, indexados na Web of Science, recebem tratamento temático adequado que favoreça a Visualização da Informação. Objetivo: avaliar a qualidade da representação da informação na Base de dados Web of Science (WoS) por meio da análise dos campos palavras-chave de autor e keywords plus dos artigos da área de Nutrição em Saúde Pública, buscando observar o uso desses termos no contexto da visualização da informação. Metodologia: Trata-se de um estudo exploratório, que busca compreender a dinâmica da representação da informação do domínio de Nutrição na base de dados WoS. O corpus é composto por um conjunto de vinte artigos com alto índice de citação, publicados no período de 2006 a 2016. A análise se deu em duas etapas: na primeira, aplicou os critérios de avaliação da indexação ao conjunto de termos da referida base e, na segunda, utilizou como parâmetro o vocabulário DeCS (Descritores de Ciências da Saúde) para encontrar pontos de intersecção entre esse vocabulário e a representação da informação na WoS. Tal análise teve como ponto central a garantia literária. Resultados: tanto as palavras-chave de autor quanto as keywords plus do corpus analisado conseguiram atender a critérios de indexação, todavia foram observados aspectos da representação temática que comprometem a visualização da informação. Conclusões: Quanto à garantia literária, o resultado mostrou que não existe uma linguagem comum entre o DeCS e os termos da WoS.

The 100 most cited papers on thymic epithelial tumours: a bibliometric analysis.

Bibliometric analysis can help us analyse the most influential papers, authors, research institutions in a discipline or topic and analyse the impact of these papers on a specific field. Our purpose is to identify the 100 most cited papers about thymic epithelial tumours (TETs) and analyse their key characteristics. We use certain search terms in the Web of Science database to identify the 100 most cited papers, and analysed the first author, country of the first author, institution, journal, type of paper, number of citations, and citation rate. The search returned 26,497 results. The top 100 papers received 17,674 citations. The most cited paper was by Masaoka et al. (n=1,190 citations), in which, clinical staging criteria are proposed for thymoma with special emphasis on the therapy and prognosis. The paper with the highest citation rate was also by Masaoka et al. (citations rate =30.51). Osaka University published the most papers (n=6) and accrued the highest number of citations (n=2,122 citations). The United States was the country with the most published papers (n=45) and the highest number of citations (n=7,991 citations). Cancer is the journal with the most published papers (n=19) and the highest number of citations (n=5,017 citations). Through the analysis of the most influential papers, this study provides a reference for researchers trying to understand TETs, thus providing guidance for future research.

Review Citation Factors

Reviews are essential for the sustainable development of research, as evidenced by their higher citation rates compared to other types of publications. The literature on the typification of reviews is analyzed; the role of reviews in the general flow of scientific publications is characterized, including by scientific trends; and hypotheses about factors affecting the citation of scientific publications in general and reviews in particular are accumulated. To confirm the hypotheses and determine the degree of influence of individual factors, a correlation and regression analysis of the selected array of scientific reviews has been carried out. As a result, the influence of ten factors is shown. The most significant of them are the rating of the journal, the age of the article, the bibliography length, the language in which the review is written, and the average Hirsch index of the authors.

The politics of academic innovation: A cross-national study of the effects of regime type on knowledge production

ABSTRACT Academic innovation is key to a country’s international competitiveness and national well-being, and therefore explore its drivers is important. This paper tests a neglected driver – regime type – on how it affects academic innovation in 92 countries. Cross-national evidence of the effects of democracies and autocracies on scholarly production is lacking but much needed, especially when autocracies like China have overtaken the democratic United States for the number of scientific publications produced. For our independent variable, we use data from the Polity Project to measure the democratic level of a regime, backed by datasets from the Freedom House and the Varieties of Democracy Institute (V-Dem). Unlike the existing literature that focuses on academic outputs by quantity and on science subjects alone, our dependent variables measure research outputs using the Scopus data and the Essential Science Indicators, which sort academic innovation by both quantity and quality measures for all disciplines. We find higher scholarly productivity and creativity, manifested as larger output quantity with higher citation rates per documents and greater H-index figures for quality and impact, are positively associated with a regime’s democratic level. Why do democracies enable better innovation? We utilise the V-Dem dataset to suggest that academic freedom is a crucial cause.

Fiscal Pressures and Discriminatory Policing: Evidence from Traffic Stops in Missouri

AbstractThis paper provides evidence of racial variation in traffic enforcement responses to local government budget stress using data from policing agencies in the state of Missouri from 2001 through 2012. Like previous studies, we find that local budget stress is associated with higher citation rates; we also find an increase in traffic-stop arrest rates. However, we find that these effects are concentrated among White (rather than Black or Latino) drivers. The results are robust to the inclusion of a range of covariates and a variety of model specifications, including a regression discontinuity examining bare budget shortfalls. Considering potential mechanisms, we find that targeting of White drivers is higher where the White-to-Black income ratio is higher, consistent with the targeting of drivers who are better able to pay fines. Further, the relative effect on White drivers is higher in areas with statistical over-policing of Black drivers: when Black drivers are already getting too many fines, police cite White drivers from whom they are presumably more likely to be able to raise the needed extra revenue. These results highlight the relationship between policing-as-taxation and racial inequality in policing outcomes.

Quantifying shifts in topic popularity over 44 years of Austral Ecology

AbstractThe Ecological Society of Australia was founded in 1959, and the society’s journal was first published in 1976. To examine how research published in the society’s journal has changed over this time, we used text mining to quantify themes and trends in the body of work published by the Australian Journal of Ecology and Austral Ecology from 1976 to 2019. We used topic models to identify 30 ‘topics’ within 2778 full‐text articles in 246 issues of the journal, followed by mixed modelling to identify topics with above‐average or below‐average popularity in terms of the number of publications or citations that they contain. We found high inter‐decadal turnover in research topics, with an early emphasis on highly specific ecosystems or processes giving way to a modern emphasis on community, spatial and fire ecology, invasive species and statistical modelling. Despite an early focus on Australian research, papers discussing South American ecosystems are now among the fastest‐growing and most frequently cited topics in the journal. Topics that were growing fastest in publication rates were not always the same as those with high citation rates. Our results provide a systematic breakdown of the topics that Austral Ecology authors and editors have chosen to research, publish and cite through time, providing a valuable window into the historical and emerging foci of the journal.

A critical appraisal of IBM’S patent pledge model: The impact of patent quality on open source software START-UP’S market entry decision

In 2005, IBM provided open access to 500 of their software patents to establish a platform to further innovation. Recently, a paper by Wen and her colleagues empirically analyzed this relationship and found a positive association between IBM's patent pledge and open source software start-up firms' market entry. Despite their seminal findings, it is somehow questionable whether start-up firms enter markets regardless of the patent value of the market, as small-to medium-sized firms such as start-ups have a practice of selectively entering markets. By complementing Wen, Ceccagnoli and Forman's paper, we not only provide more contextual explanations, but also show that start-up firms tend to selectively enter markets where patents are filled with younger and higher citation rates.

How do we design and report a high-quality survey?

Every day, new surveys are planned, distributed, or reported by health care professionals. Surveys are an inexpensive and convenient research tool used with increasing frequency as an approach to gather and collate information on attitudes and behaviors for a specific topic. However, surveys can squander the valuable time of respondents who may derive little, if any, benefit from participation. Similar to any other research methodology, a careful design is needed to avoid introducing bias and to obtain meaningful information. A recent study evaluating the quality of surveys addressing clinical topics in transfusion medicine (TM) identified common deficiencies in the quality and design, including the failure to report validity and reliability, to address nonresponse error, to report funding and ethics/consent considerations, and to discuss the generalizability of results. Instructions to authors for reporting survey results are lacking in most journals. Inadequate survey design, analysis, and reporting can prevent accurate data collection and compromise the interpretation of the results, which is of critical relevance considering the high citation rates for some of these surveys. Further, survey results might be used to inform policies when no higher level of evidence is available. In this article, the authors seek to provide practical recommendations for designing high-quality surveys based on personal experience and published literature and to address frequently missing key elements in survey-based studies related to clinical TM.

Which health and biomedical topics generate the most Facebook interest and the strongest citation relationships?

Although more than a million academic papers have been posted on Facebook, there is little detailed research about which fields or cross-field issues are involved and whether there are field or public interest relationships between Facebook mentions and future citations. In response, we identified health and biomedical scientific papers mentioned on Facebook and assigned subjects to them using the MeSH and Science Metrix journal classification schema. Multistage adaptive LASSO and unpenalized least-squares regressions were used to model Facebook mentions by fields and MeSH terms. The fields Science and Technology, General and Internal Medicine, Complementary and Alternative Medicine, and Sport Sciences produced higher Facebook mention counts than average. However, no MeSH cross-field issue differences were found in the rate of attracting Facebook mentions. The relationship between Facebook mentions and citations varies between both fields and MeSH cross-field issues. General and Internal Medicine, Cardiovascular System and Hematology and Developmental Biology have strongest correlations between Facebook mentions and citations, probably due to high citation rates and high Facebook visibility in these areas.

Sensor data quality: a systematic review

Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are rendered useless if the data quality is bad. This systematic review aims to provide an introduction and guide for researchers who are interested in quality-related issues of physical sensor data. The process and results of the systematic review are presented which aims to answer the following research questions: what are the different types of physical sensor data errors, how to quantify or detect those errors, how to correct them and what domains are the solutions in. Out of 6970 literatures obtained from three databases (ACM Digital Library, IEEE Xplore and ScienceDirect) using the search string refined via topic modelling, 57 publications were selected and examined. Results show that the different types of sensor data errors addressed by those papers are mostly missing data and faults e.g. outliers, bias and drift. The most common solutions for error detection are based on principal component analysis (PCA) and artificial neural network (ANN) which accounts for about 40% of all error detection papers found in the study. Similarly, for fault correction, PCA and ANN are among the most common, along with Bayesian Networks. Missing values on the other hand, are mostly imputed using Association Rule Mining. Other techniques include hybrid solutions that combine several data science methods to detect and correct the errors. Through this systematic review, it is found that the methods proposed to solve physical sensor data errors cannot be directly compared due to the non-uniform evaluation process and the high use of non-publicly available datasets. Bayesian data analysis done on the 57 selected publications also suggests that publications using publicly available datasets for method evaluation have higher citation rates.

H-Index and Its Variants

H-index is an accepted norm to rank scientists and makes them eligible for various professional benefits. However, taking into consideration the associated flaws of the h-index, a diversified set of parameters have been proposed by the scientific community to rank authors in a better way. Imaginary case studies and datasets are used to find out the practical and actual utility of the proposed indicators. To analyze the individual behaviour of each index, these indices are comprehensively evaluated on an extensive data set. This study emphasizes the scrutiny of the h-index, some of its variants, and extensions to rank authors. There appears to be a correlation between high citation rates for a published researcher and the award of prestigious accolades. Thus, the inclusion of a researcher in the list is based on high citation rates and the authority has claimed a direct connection between the citation rates and prestigious awards. In this context, the work initiated to find out the h-index and its variants for the selected researchers incorporated in the hall of citation laureates from the field of medicine. It is clear from the correlation analysis that there is a difference in the degree of correlation between the h-index and its variants. The A-index is weakly correlated, and M-Quotient is strongly correlated with h-index. Thus, most of the h-index variants are merely mathematically and arithmetically modified and does not add any new information as these are highly correlated and are based on the h-core. Thus, more useful and reasonable approaches could be developed for multidimensional and contextualized evaluations of scientific performance rather than cocooning them with mere numbers.

Top 50 cited articles on dental stem cell research.

ObjectivesCitation analysis provides a unique insight into how scientific interests and research trends have changed over time. The aim of this study was to report on the 50 top-cited papers in dental stem cell research using the Science Citation Index Expanded provided by the Web of Science database to determine the academic importance of each contribution.Materials and MethodsAfter the screening, article title and type, total citations and citations per year, publication journal, publication year, first and senior authors, country of origin, institution, and university of reprint author were documented for the 50 top-cited articles in dental stem cell research. Keyword analysis was performed to determine which keywords were most/least popular.ResultsTop 50-cited articles were cited between 179 to 2,275 times. The majority of papers were published in 2008 and originated from the United States with the highest contribution from the National Institute of Dental & Craniofacial Research. Journal of Dental Research published the highest number of top-cited articles, followed by Stem Cells and Journal of Endodontics. The greatest number of articles was published by two individual authors, Shi and Gronthos. Among 197 unique keywords, dental pulp stem cells and mesenchymal stem cells were the most frequently used. Thirty-eight of the 50 most cited articles were original articles, and 37 of them were in the field of basic science.ConclusionsBasic science studies in dental stem cell research published in high impact factor journals had the highest citation rates.

Bibliometric Analysis Provides a Detailed Map of Information Literacy Literature in the Social Sciences and Humanities

A Review of:
 Bhardwaj, R.K. (2017). Information literacy in the social sciences and humanities: A bibliometric study. Information and Learning Science, 188(1/2), 67–89. https://doi.org/10.1108/ILS-09-2016-0068
 Abstract
 Objective – To determine the scope and distribution of information literacy research documents in the humanities and social sciences published from 2001 to 2012.
 Design – Bibliometric analysis.
 Setting – N/A
 Subjects – 1,990 document records retrieved from a Scopus database search. 
 Methods – Using the database Scopus, the author created and conducted a search for documents related to the concept of information literacy. Articles, review papers, conference articles, notes, short surveys, and letters were included in the results. Only documents published from January 1, 2001 to December 31, 2012 were included in the study. The author then performed various bibliometric analyses of the results.
 Main Results – The author found that the number of publications and citations have increased over time, although the average citations per publication (ACPP) decreased significantly during the time period being studied. The majority of the literature published on this topic is in English and produced within the United States. The Transformative Activity Index was calculated to determine changes in publishing patterns across countries from 2001 to 2012. The amount of research collaboration across countries was calculated as well, with the U.S. being the most collaborative. The top journals publishing on this topic were identified by calculating the h-index. An individual from Universidad de Granada in Spain published the greatest number of articles from a single author, and this university was found to have produced the greatest amount of research. Documents produced by the United Kingdom have the highest citation rates. A total of 1,385 documents were cited at least once, and each item on average was cited five times.
 Conclusion – Most of the articles on information literacy in the social sciences and humanities comes from developed countries. The results of this study may help to inform those interested in researching this field further.

Delphi method: analysis of rounds, stakeholder and statistical indicators

PurposeThe purpose of this study is to review the literature on the Delphi method, its characteristics and current applications through an analysis of recent most-cited scientific papers, with an emphasis on three axes, namely, the number of rounds used, stakeholder participation relevance or only academic experts’ participation and the possibility of using indicators or techniques different from those related to descriptive statistics.Design/methodology/approachIn total, 57 papers were initially reviewed, 10 of them with a high citation rate. Then, an analysis was made of papers in Scopus for the period 2015-2018 published in theTechnological Forecasting and Social Change Journaland inthe Futures and Foresight Journal, which had the characteristic of displaying quartileQ1orQ2in Scimago in addition to being in Scopus.FindingsAmong the main results, the authors observe the tendency to use fewer rounds, a higher prevalence of stakeholder participation and not only academic experts but also the use of new types of modified Delphi such as real-time spatial Delphi, Delphi group, market Delphi, real-world Delphi and policy Delphi.Originality/valueAmong the conclusions, the possibility of using other indicators or complementary techniques to the descriptive statistics is highlighted such as number of justifications or comments between rounds, coefficients to quantify the competence or degree of expertise of the participants, measures of the perception of the expert on the usefulness of the presented feedback, graphs of the number of arguments according to the number of questions, the Wilcoxon Ranked Pairs Test, the k means, Kolmogorov–Simonov test and the Mann–Whitney U-test.

Top 100 cited systematic reviews and meta-analyses in dentistry

Objective: The purpose of the present study was to identify the 100 top cited systematic reviews and meta-analyses on dental journals so as to gain insight into the influential publications in dentistry.Material and methods: The Web of Science was used to comprehensively identify the 100 most cited papers without year and language restriction. Specific parameters regarding the title, journal, publication year, authors, country of origin, institution and university, collaborations, keyword analysis and field of study of each manuscript were retrieved.Results: The citations ranged from 642 to 140. The most productive years were 2008 and 2009. The majority of top cited papers were published in Clinical Oral Implants Research and Journal of Clinical Periodontology. The leading countries were United States, followed by Switzerland. The University of Zurich was the most productive institution with 8 articles. Major topics of interest in the top 100 most-cited papers were dental implants and periodontology. The most frequently occurring keywords were systematic review, dental implants and meta-analyses.Conclusions: Systematic reviews published in high impact factor Dental journals focused on implantology and periodontology had the highest citation rates. Obviously, the top cited list is dynamic, as scientific interests and research tendencies evolve over the years.

The 100 most cited manuscripts in esophageal motility disorders: a bibliometric analysis.

The use of bibliometrics can help us identify the most impactful articles on a topic or scientific discipline and their influence on clinical practice. We aimed to identify the 100 most cited articles covering esophageal motility disorders and examine their key characteristics. The Web of Science database was utilized to perform the search, using predefined search terms. The returned dataset was filtered to include full manuscripts written in the English language. After screening, we identified the 100 most cited articles and analyzed them for title, year of publication, names of authors, institution, country of the first author, number of citations and citation rate. The initial search returned 29,521 results. The top 100 articles received a total of 20,688 citations. The most cited paper was by Inoue et al. (665 citations) who first described peroral endoscopic myotomy (POEM) for treating achalasia. The article with the highest citation rate was the third version of the Chicago Classification system, written by Kahrilas and colleagues. Gastroenterology published most papers on the list (n=32) and accrued the highest number of citations (6,675 citations). Peter Kahrilas was the most cited author (3,650 citations) and, along with Joel Richter, authored the highest number of manuscripts (n=14). Most articles were produced in the USA (n=66) between the years 1991 and 2000 (n=32). By analyzing the most influential articles, this work is a reference on the articles that shaped our understanding of esophageal motility disorders, thus serving as a guide for future research.

Bibliometric Analysis of Medication-Related Osteonecrosis of the Jaw: High Citation Rates but Low Evidence

Citation analysis is one of the most commonly used bibliometric tools for measuring the academic importance of a report in a specific area of knowledge. The objective of the present study was to identify the 100 most cited reports on medication-related osteonecrosis of the jaw (MRONJ), determine their main bibliometric characteristics, and identify the bibliometric variables that affected the citation rates. We performed a data search in the Scopus database to determine the number of MRONJ article citations up to September 30, 2018. We next selected the 100 most referenced studies and recorded the following information: ranking according to the number of citations; citation density; number and names of authors; language and year of publication; country and institution of origin; financial support; journal name, impact factor, category, and quartile; type of research; evidence level; and area of study. The 100 most cited reports had a mean citation density of 21.7±20.7 (range, 6.2 to 99.4) and an h-index of 96. The 100 most cited reports on MRONJ had been published in 42 scientific journals, classified into 10 separate categories of the Journal Citation Reports; 56% of the articles were in the first quartile of their category. Most of the studies had been classified with a level of evidence of 4 (n=45) or 5 (n=29). In the bivariate analyses, only the conflict of interest (P=.002) was associated with citation density. After adjusting for numerous variables, conflict of interest (r=0.27; P=.020) and country of the first author (r=0.23; P=.043) were significantly associated with citation density. The 100 most cited studies of MRONJ had a large number of citations and had been reported in journals with a high impact factor; however, the studies had a generally low evidence level and randomized clinical trials were lacking.