Highly cited publication performance in the ophthalmology category in the Web of Science database:a bibliometric analysis

AIM:To determine and evaluate the features of highly cited articles(HCAs)in the ophthalmology category in the Science Citation Index Expanded(SCI-EXPANDED)from 1991 to 2020.METHODS:The Web of Science Core Collection documents with at least 100 citations from their publication year until December 31,2020,were evaluated as highly cited.The examined features were the distribution of yearly output and its average number of per publication,HCAs,authors,institutions,journals,and nations.The publication performance of nations and organizations was assessed using six publication indicators.The Y-index was employed to compare the research outputs of various authors.RESULTS:Publications that had cited the most references were highly published in high-impact factor journals.The United States of America came out on top across all six publication indicators,and it was home to eight of the top 10 most productive institutions.The articles written by Breivik et al(2006)and Farrar et al(2001)were highly cited and had a significant impact in 2020.The authors had a higher number of highly cited articles published as corresponding authors than as first authors.CONCLUSION:The findings of the present study highlight the current scope of global research in ophthalmology.The findings can help policy-makers and advisory groups of research centers to develop future policies.In addition,the findings can guide researchers in this field.

Lone Geniuses or One among Many?An Explorative Study of Contemporary Highly Cited Researchers

Purpose:The ranking lists of highly cited researchers receive much public attention.In common interpretations,highly cited researchers are perceived to have made extraordinary contributions to science.Thus,the metrics of highly cited researchers are often linked to notions of breakthroughs,scientific excellence,and lone geniuses.Design/methodology/approach:In this study,we analyze a sample of individuals who appear on Clarivate Analytics’Highly Cited Researchers list.The main purpose is to juxtapose the characteristics of their research performance against the claim that the list captures a small fraction of the researcher population that contributes disproportionately to extending the frontier and gaining—on behalf of society—knowledge and innovations that make the world healthier,richer,sustainable,and more secure.Findings:The study reveals that the highly cited articles of the selected individuals generally have a very large number of authors.Thus,these papers seldom represent individual contributions but rather are the result of large collective research efforts conducted in research consortia.This challenges the common perception of highly cited researchers as individual geniuses who can be singled out for their extraordinary contributions.Moreover,the study indicates that a few of the individuals have not even contributed to highly cited original research but rather to reviews or clinical guidelines.Finally,the large number of authors of the papers implies that the ranking list is very sensitive to the specific method used for allocating papers and citations to individuals.In the"whole count"methodology applied by Clarivate Analytics,each author gets full credit of the papers regardless of the number of additional co-authors.The study shows that the ranking list would look very different using an alternative fractionalised methodology.Research limitations:The study is based on a limited part of the total population of highly cited researchers.Practical implications:It is concluded that"excellence"understood as highly cited encompasses very different types of research and researchers of which many do not fit with dominant preconceptions.Originality/value:The study develops further knowledge on highly cited researchers,addressing questions such as who becomes highly cited and the type of research that benefits by defining excellence in terms of citation scores and specific counting methods.

2016 Highly Cited Paper Award and Best Reviewer Award of Petroleum Science

Petrolezum Science is pleased to announce the winners of the 2016 Highly Cited Paper Award in which we recognize highly cited papers published in our journal between 2014and 2015.Citation data of papers are based on citations in Web of Science in 2016.Petroleum Science also announces the winners of the 2016 Best Reviewer Award who have made an outstanding contribution in 2016 as reviewer to Petroleum Science.Congratulations and thanks to all the winners!The winners of the 2016 Highly Cited Paper Award

Analysis of highly cited articles published in Chinese Medical Journal in 2010

Scientific journals are more likely to publish those articles which will be highly cited after theirpublication. To improve the quality and the impact of the Chinese Medical Journal （CMJ）, the distribution of highly cited articles published in CMJ in 2010 was analyzed and reported in this article.

Paper Analysis of Shanghai Ocean University in Bibliometric Method from Web of Science

The data of this research was mainly collected from the Web of Science (WOS) and Incites database platform, which was filtered and cataloged according to the different platforms. For tracing the change in scientific research at Shanghai Ocean University, make use of Bibliometric analysis to get the image and table of highly cited papers and hot papers. In this study, the scientific aspects in highly cited papers and hot papers, published in the last year in the core collection of Web of Science, were taken as objects, and office software was used as the main tool to carry out bibliometric and figure analysis. From the four aspects to find the difference in these fields, the production of specific fields and cited times is inconsistent. And suggest the department and management adjust the policy and method via elastic personnel and rewards to prompt the advancement of the research fields.

Factors Influencing Cities’ Publishing Efficiency

Purpose： Recently, a vast number of scientific publications have been produced in cities in emerging countries. It has long been observed that the publication output of Beijing has exceeded that of any other city in the world, including such leading centres of science as Boston, New York, London, Paris, and Tokyo. Researchers have suggested that, instead of focusing on cities＇ total publication output, the quality of the output in terms of the number of highly cited papers should be examined. However, in the period from 2014 to 2016, Beijing produced as many highly cited papers as Boston, London, or New York. In this paper, another method is proposed to measure cities＇ publishing performance by focusing on cities＇ publishing efficiency （i.e., the ratio of highly cited articles to all articles produced in that city）.Design/methodology/approach： First, 554 cities are ranked based on their publishing efficiency, then some general factors influencing cities＇ publishing efficiency are revealed. The general factors examined in this paper are as follows： the linguistic environment of cities, cities＇ economic development level, the location of excellent organisations, cities＇ international collaboration patterns, and their scientific field profile. Furthermore, the paper examines the fundamental differences between the general factors influencing the publishing efficiency of the top 100 most efficient cities and the bottom 100 least efficient cities.Findings： Based on the research results, the conclusion can be drawn that a city＇s publishing efficiency will be high if meets the following general conditions： it is in a country in the Anglosphere-Core; it is in a high-income country; it is home to top-ranked universities and/ or world-renowned research institutions; researchers affiliated with that city most intensely collaborate with researchers affiliated with cities in the United States, Germany, England, France, Canada, Australia, and Italy; and the most productive scientific disciplines of highly cited articles are published in high-impact multidisciplinary journals, disciplines in health sciences （especially general internal medicine and oncology）, and disciplines in natural sciences （especially physics, astronomy, and astrophysics）.Research limitations： It is always problematic to demarcate the boundaries of cities （e.g., New York City vs. Greater New York）, and regarding this issue there is no consensus among researchers. The Web of Science presents the name of cities in the addresses reported by theauthors of publications. In this paper cities correspond to the spatial units between the country/ state level and the institution level as indicated in the Web of Science. Furthermore, it is necessary to highlight that the Web of Science is biased towards English-language journals and journals published in the field of biomedicine. These facts may influence the outcome of the research.Practical implications： Publishing efficiency, as an indicator, shows how successful a city is at the production of science. Naturally, cities have limited opportunities to compete for components of the science establishment （e.g., universities, hospitals）. However, cities can compete to attract innovation-oriented companies, high tech firms, and R＆D facilities of multinational companies by for example establishing science parks. The positive effect of this process on the city＇s performance in science can be observed in the example of Beijing, which publishing efficiency has been increased rapidly. Originality/value： Previous scientometric studies have examined cities＇ publication output in terms of the number of papers, or the number of highly cited papers, which are largely size dependent indicators; however this paper attempts to present a more quality-based approach.

A Bibliometrics Analysis on Academic Influence of Chinese Journal of Integrated Traditional and Western Medicine

Objective:To illustrate the academic influence of Chinese Journal of Integrated Traditional and Western medicine,and provide suggestions for further development of the Journal.Methods:Taking the China National Knowledge Infrastructure(CNKI)database as main source and the Chinese Science Citation Database(CSCD)as reference,the researchers retrieved the related data of the Journal such as its publication quantity,citations,fund projects,authors,institutions and regions from 1981 to 2018,analyzed these data by means of bibliometrics and information visualization with EXCEL,SPSS,VISIO,MATLAB and other softwares.Results:Through the analysis of the main indicators,the relevant indicators of the Journal’s academic influence revealed the developing trend of the Journal.Cardiovascular and cerebrovascular diseases,endocrine,digestive system,pharmacological research of Chinese medicine and gynecology,as the hot topics in the discipline and academic,were clarified.Conclusions:All indicators show that the Journal is a high-quality journal reflecting the excellent achievements in the field of integrated Chinese and Western medicine in China.Through further analysis of relevant indicators,the authors put forward some specific suggestions on how to run the Journal well.

Research on the structural features and influencing factors of the scientific exchange network of countries along "the belt and road"

"The Belt and Road" is an initiative proposed by China in recent years to cooperate and develop to build a community with a shared future for mankind. Analyzing the academic exchanges of countries along the "The Belt and Road" can provide a quantitative reference for future international scientific and technological exchanges, collaborative innovation development and related research. We carry out matrix construction and network structure analysis on the citation and cooperation of highly cited papers among countries along the "Belt and Road" included in China from 2013 to 2018 included in Web of Science Core Collection, and explore the current status of scientific exchanges in countries along "the Belt and Road". The Quadratic Assignment Procedure analysis method verifies the influence of five variables, including geographic proximity, differences in economic levels, scientific productivity, similarity of research content,and economic and trade cooperation, on scientific exchange networks. The research results show that the countries along the "the Belt and Road" have relatively close academic exchanges;Geographical proximity, similarity of research content, differences in economic level between countries, and differences in scientific productivity are significantly correlated with each other;the similarity of scientific and technological level and research content and the closeness of economic and trade cooperation have a positive effect on scientific exchanges as a whole.