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Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 308-316
Author(s):  
Dr. Santosh Dnyanobarao Kadam ◽  
Shankar Chandrakant Bhusawar

Efforts were made to analyze 5807 citations of Webology published during 2004 to 2019. The citations were classified on the basis of type of material which clearly indicates that periodicals and web resources were the most popular type of resources used by the authors for writing research papers. The study found that out of 5807 citations 2580 citations were authored by the single author and single authorship pattern was found as the most popular authorship pattern among the authors. The study founds the two oldest citations were from the books which were published before 1900. The findings of the study show the notable change in the use of type of resources being used for writing the research papers. The results of the study shoes that use the of periodicals and web resources for writing research papers was increased from 1951 and onward. The study also presented the list of the twenty five highly cited journals, ten highly cited authors, fifteen highly cited web links and five highly cited books.


Author(s):  
Nohade Nasrallah ◽  
Osama F. Atayah ◽  
Rim El Khoury ◽  
Allam Hamdan ◽  
Shaher Obaid

The Journal of Information and Knowledge Management (JIKM) published its first issue in 2002 and celebrated its 19th birthday in 2020. This study aims to assess JIKM performance over its lifetime between 2002 and 2020 by extracting data from the Scopus database and using a combined approach of bibliometric and content analysis. More specifically, we evaluate JIKM’s productivity and stature, discuss its performance compared to other journals, and identify key contributing (authors, institutions, and countries), citation pattern, and conceptual structure. The results highlight JIKM’s growing presence, which is reflected in the dual rise of publication activity and accumulated citation. JIKM becomes one of the preeminent journals in the area of knowledge management, with a broad range of scientific actors’ contributions (authors, institutions and countries) from all over the world. Furthermore, using a bibliographic coupling, keywords’ analysis, and co-authorship analysis, we analyse JIKM’s content and identify the most frequent themes discussed. The analysis reveals that JIKM has expanded its scope from knowledge management to a new array of emerging technologies’ topics such as artificial intelligence and data mining. Graphical visualization of similarities (VOSviewer and Rstudio) shows that the major themes published are clustered into four groups, mainly (i) sustainable knowledge, (ii) emerging technologies, (iii) information management, and (iv) organization culture and knowledge sharing.


Author(s):  
Pan Gu ◽  
Waixing Li ◽  
Xingping Zhao ◽  
Dabao Xu

AbstractBibliometric analysis is a statistical method that attempts to assess articles by their citations, analyzing their frequency and citation pattern, which subsequently gleans direction and guidance for future research. Over the past few years, articles focused on intrauterine adhesions have been published with increasing frequency. Nevertheless, little is known about the properties and qualities of this research, and no current analysis exists that has examined the progress in intrauterine adhesion research. Web of Science Core Collection, BIOSIS Citation Index, and MEDLINE database were searched to identify articles on intrauterine adhesion published from 1950 to October 2020. The 100 most cited articles were chosen to analyze citation count, citation density, authorship, theme, geographic distribution, time-related flux, level of evidence, and network analysis. An overwhelming majority of these 100 articles were published in the 2010s (35%). Citations per article ranged from 30 to 253. Chinese authors published the most papers in the top 100, followed by the USA, France, Israel, and Italy. The most salient study themes included operative hysteroscopy and adjunctive treatments for improving reproductive outcomes. The most common level of evidence was level II, and there was no statistical difference in the number of citations between the levels. The network analysis indicated that hysteroscopy, hysteroscopic adhesiolysis, infertility, and the reproductive outcome had a great degree of centrality in the 2000s and 2010s. In comparison, placental implantation had a great degree of centrality in the 2000s, and stem cell and fibrosis had a great degree of centrality in the 2010s. The value of IUA investigation has been gradually appreciated recently. Hysteroscopic adhesiolysis was continuously explored to achieve better reproductive outcome. Over time, the main focus of research has gradually shifted from complications to postoperative adjuvant treatment. Moreover, breakthrough progress is needed in underlying mechanism and early prevention of IUA.


2021 ◽  
Vol 41 (02) ◽  
pp. 94-101
Author(s):  
Yaniasih Yaniasih ◽  
Indra Budi

In-text citations have been put forward as a new way to overcome the bias inherent in bibliographic citation analysis. In-text citation patterns have been used as the basis for citation analysis previously, but all the evidence has come from international journals. However, many countries have more local journals than international journals. This paper uses in-text citation analysis to examine local journals in Indonesia. The paper aims to determine the location-based citation pattern in the text and its effect on the articles’ and authors’ rankings. We collected articles from seven food science journals and then parsed these articles to detect the citations and their locations within the text. Pre-processing included normalizing section names, developing a database, and matching citation identities. The rankings were based on sections and then evaluated using the Spearman rank correlation in the final step. The results revealed that Indonesian journals did not exhibit the same patterns as international journals. There were differences in the section locations of the highest percentages of citations, the distributions of publication years, and the ranking methods. The correlations between sections indicated that the citations in the results and discussion section should be give the highest weight, followed by those in the method section, while the lowest weight should be assigned to citations in the introduction. These results need to be strengthened with further research using more extensive data and fields. Other findings, such as nonstandard and inconsistent citations, made developing an automatic citation detection system for local journals challenging.


2020 ◽  
Author(s):  
Vahid Jalili ◽  
Dave Clements ◽  
Björn Grüning ◽  
Daniel Blankenberg ◽  
Jeremy Goecks

AbstractA growing number of biomedical methods and protocols are being disseminated as open-source software packages. When put in concert with other packages, they can execute in-depth and comprehensive computational pipelines. Therefore, their integration with other software packages plays a prominent role in their adoption in addition to their availability. Accordingly, package management systems are developed to standardize the discovery and integration of software packages. Here we study the impact of package management systems on software dissemination and their scholarly recognition. We study the citation pattern of more than 18,000 scholarly papers referenced by more than 23,000 software packages hosted by Bioconda, Bioconductor, BioTools, and ToolShed—the package management systems primarily used by the Bioinformatics community. Our results suggest that there is significant evidence that the scholarly papers’ citation count increases after their respective software was published to package management systems. Additionally, our results show that the impact of different package management systems on the scholarly papers’ recognition is of the same magnitude. These results may motivate scientists to distribute their software via package management systems, facilitating the composition of computational pipelines and helping reduce redundancy in package development.Significance StatementSoftware packages are the building blocks of computational pipelines. A myriad of packages are developed; however, the lack of integration and discovery standards hinders their adoption, leaving most scientists’ scholarly contributions unrecognized. Package management systems are developed to facilitate software dissemination and integration. However, developing software to meet their code and packaging standards is an involved process. Therefore, our study results on the significant impact of the package management systems on scholarly paper’s recognition can motivate scientists to invest in disseminating their software via package management systems. Dissemination of more software via package management systems will lead to a more straightforward composition of computational pipelines and less redundancy in software packages.


2020 ◽  
Author(s):  
Joyita Chakraborty ◽  
Dinesh K. Pradhan ◽  
Subrata Nandi
Keyword(s):  

Author(s):  
Swapan Kumar Patra ◽  
Anup Kumar Das

This chapter is an attempt to map the interdisciplinary nature of Indian library and information science (LIS) research. For this purpose, citation information of 28 Indian LIS journals is considered from Indian Citation Index (ICI) database. ICI is a bibliographic and citation database of research journals published from India. In order to understand the anatomical pattern of citations, social networking software UCINET is used to map the citation network. The result shows that self-citations (about 23%) are the prevalent pattern of citations among Indian LIS journals. Beside this, citation pattern at large is confined to the subject of LIS (about 93%) area. Further, the analysis also shows that about 7% of articles are cited from non-LIS journals. However, citations of non-LIS fields are from a closely related field, for example, general science and technology, computer science, and so on. Thus, it can be concluded that Indian LIS research does not show true interdisciplinary nature.


2019 ◽  
Vol 47 (4) ◽  
pp. 229-241
Author(s):  
Yuzhuo Wang ◽  
Chengzhi Zhang

Purpose Citation content in academic papers and academic monographs promotes the knowledge flow among different publications. However, existing citation content analysis (CCA) focuses on academic papers and monographs have not received much research attention. We want to know if monographs are appropriate objects of CCA and whether existing methods of analyzing citation in papers are suitable for citation in monographs. Therefore, this paper aims to learn more about features of cited references and citation content in monographs and compare the characteristic of citation pattern between monographs and papers. Design/methodology/approach The authors manually annotate the references and syntactic citation content in academic monographs published by Morgan & Claypool and automatically extracted the references and citation content from academic papers published by Public Library of Science. Five features in two types citation pattern, namely, pattern of cited reference (including year, source and mention frequency of reference) and pattern of citation content (including location, length of citation content) are used to examine similarities and differences between monographs and papers. Findings The results indicate that between monographs and papers, differences are shown in location, length of citation content and year, source of reference, whereas frequency of mention of reference is similar. Originality/value Previous studies have explored the patter of citation content in academic papers. However, none of the existing literature, as far as the authors know, has considered the citation content in academic monographs and the similarities or differences among academic documents when studying the citation pattern.


2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Zacharia Mbaidjol ◽  
Jens Rothenberger ◽  
Rajesh Chetany

Background. Lower extremity reconstruction has always been a challenge. Some of the published articles had a major impact on the field but are often not considered as classics because they have fewer citations. We therefore conducted a scientometric analysis of the most cited articles with a focus solely on the lower limb. Methods. A search was conducted on Medline, the Web of Science database, Google Scholar, and Scopus identifying articles relevant to reconstructive surgery of the lower limb. All journals were included with no time frames. Articles relating solely to orthopedics or vascular reconstruction were excluded. The number of citations obtained were then plotted and compared between the different search engines. The mean citation number was calculated by taking into consideration the total number of years since the article’s first year of publication. Articles were then ranked and classified according to their authors, their years of publications, and their countries. They were furthermore categorized and analyzed. Results. Highly cited articles were easily retrieved with Google Scholar, mostly published in Plastic and Reconstructive Surgery (n = 37) and were mainly authored by American Medical Centers (n = 22). Fifty-four percent (54%) of these classic articles discussed the design of new flaps or were anatomical studies. Conclusions. We were not able to find a correlation between the year of citation and the number of citations. The citation pattern of a paper cannot be predicted, but a majority of highly cited article allowed the design of new reconstructive techniques.


2018 ◽  
Vol 8 (3) ◽  
pp. 98-102
Author(s):  
Jyothi G. Nair ◽  
S. Raja

This paper attempts a scientometric analysis of literature in the field of genetic diversity in India over 5 years (2013-2017). A total of 1417 records and 5960 unique authors are identified. The study characterizes growth output, Authorship pattern, Collaboration pattern, Citation pattern, institutional status etc. Many of the publications have received worldwide attention of various researchers, policymakers, and planners. The number of papers was maximum in the year 2016. Average publication per year is 283. Multi-authored papers dominated over single authorship. The study was analysed by using HistCite software.


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