scholarly journals Editorial

2007 ◽  
Vol 13 (5) ◽  
pp. 319-319
Author(s):  
Charles Lyman
Keyword(s):  
Impact Factor ◽  
Web Of Science ◽  
Isi Web Of Science ◽  
Thomson Scientific ◽  
Factor Data ◽  
The Impact

The Impact Factor data for 2006 is in, and we are pleased to announce that Microscopy and Microanalysis is ranked #2 among microscopy journals by the ISI Web of Science (Thomson Scientific). This ranking is based on the 2006 Impact Factor of 2.11 (an increase from the 2005 Impact Factor of 1.88).

scholarly journals Research evaluation of author’s citation-based performance through the relative author superiority index

2017 ◽  
Vol 29 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Guillermo Armando RONDA-PUPO
Keyword(s):  
Web Of Science ◽  
Research Evaluation ◽  
H Index ◽  
Isi Web Of Science ◽  
High Citation ◽  
Group Evaluation ◽  
Percentile Rank ◽  
Citation Indexes ◽  
Applied Microbiology ◽  
The Impact

Abstract The aim of this paper is to further explore the recent conversation about the indicators for research evaluation through citation-based indexes. It evaluates the Cuban Biotechnology; Applied Microbiology researchers’ citation-based performance, according to their scientific production in journals of the ISI Web of Science database through the Relative Author Superiority Index. The methodology comprises six steps: (1) preparation of the data; (2) calculation of the Percentile Rank Index for each of the papers; (3) calculation of the Author Superiority Index for each of the authors; (4) Calculation of the Relative Author Superiority Index; (5) Comparison of the Author Superiority Index of each author to their Hirsch (H) and G citation indexes and (6) individual or group evaluation of the citation-based performance. The findings suggest that the group of Cuban researchers in biotechnology achieved a high citation-based performance within the analyzed period. The results show the effectiveness of this index to assess the citation performance of individual or group researchers when the impact factor of the researcher or group under evaluation is not high. In addition, the Relative Author Superiority index could be complementary to other previous indicators such as H-index, G-index or citation counts as it overcomes the limitations of the age of publications, length of the author’s career, and the self-citation problem that are present in other indicators.

scholarly journals Bibliometric analysis of multi-language veterinary journals

2017 ◽  
Vol 29 (3) ◽  
pp. 343-353
Author(s):  
Erwin KRAUSKOPF ◽  
Fernanda GARCIA ◽  
Robert FUNK
Keyword(s):  
Impact Factor ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Country Of Origin ◽  
Citation Distribution ◽  
Journal Citation Reports ◽  
The Subject ◽  
Number Of Citations ◽  
The Impact ◽  
Main Language

Abstract The purpose of this study was to investigate the association between language and total number of citations found among documents in journals written in English and other languages. We selected all the journals clustered together in the Journal Citation Reports 2014 under the subject category “Veterinary Sciences” and downloaded all the data registered between 1994-2013 by Web of Science for the journals that stated publishing documents in languages other than English. We classified each of these journals by quartile and extracted information regarding their impact factor, language(s) stated, country of origin, total number of documents published, total number of reviews published, percentage of documents published in English and the quartile in which each journal ranked. Of the 48,118 documents published by the 28 journals analyzed, 55.8% were published in English. Interestingly, although most of the journals state being multi-language, most documents published in quartile 1 journals were in English (an average of 99.2%), while the percentage was 93.1% in quartile 2 journals, 62.1% in quartile 3 journals and 27.4% in quartile 4 journals. We also confirmed that citation distribution in these journals was highly skewed. The results of this study suggest that journals should consider adopting English as the main language as this will increase citation counts and the impact factor of the journal.

scholarly journals Understanding citation patterns between impact-factor and blacklisted journals

2021 ◽  
Author(s):  
Emanuel Kulczycki ◽  
Marek Hołowiecki ◽  
Zehra Taskin ◽  
Franciszek Krawczyk
Keyword(s):  
Impact Factor ◽  
Web Of Science ◽  
Decision Makers ◽  
Impact Factors ◽  
Predatory Journals ◽  
Subject Categories ◽  
Citation Indexes ◽  
Predatory Publishing ◽  
Number Of Citations ◽  
The Impact

One of the most fundamental issues in academia today is understanding the differences between legitimate and predatory publishing. While decision-makers and managers consider journals indexed in popular citation indexes such as Web of Science or Scopus as legitimate, they use two blacklists (Beall’s and Cabell’s), one of which has not been updated for a few years, to identify predatory journals. The main aim of our study is to reveal the contribution of the journals accepted as legitimate by the authorities to the visibility of blacklisted journals. For this purpose, 65 blacklisted journals in social sciences and 2,338 Web-of-Science-indexed journals that cited these blacklisted journals were examined in-depth in terms of index coverages, subject categories, impact factors and self-citation patterns. We have analysed 3,234 unique cited papers from blacklisted journals and 5,964 unique citing papers (6,750 citations of cited papers) from Web of Science journals. We found that 13% of the blacklisted papers were cited by WoS journals and 37% of the citations were from impact-factor journals. As a result, although the impact factor is used by decision-makers to determine the levels of the journals, it has been revealed that there is no significant relationship between the impact factor and the number of citations to blacklisted journals. On the other hand, country and author self-citation practices of the journals should be considered. All the findings of this study underline the importance of the second part of this study, which will examine the contents of citations to articles published in predatory journals because understanding the motivations of the authors who cited blacklisted journals is important to correctly understand the citation patterns between impact-factor and blacklisted journals.

scholarly journals Ckj consolidation among Q1 Urology and Nephrology journals

2020 ◽  
Vol 13 (5) ◽  
pp. 723-727
Author(s):  
Alberto Ortiz
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Impact Factor ◽  
Cost Efficiency ◽  
Journal Impact Factor ◽  
Outcome Prediction ◽  
Web Of Science ◽  
Sglt2 Inhibitors ◽  
The Impact ◽  
Journal Impact

Abstract The Clinical Kidney Journal (ckj) impact factor from Clarivate’s Web of Science for 2019 was 3.388. This consolidates ckj among journals in the top 25% (first quartile, Q1) in the Urology and Nephrology field according to the journal impact factor. The manuscripts contributing the most to the impact factor focused on chronic kidney disease (CKD) epidemiology and evaluation, CKD complications and their management, cost-efficiency of renal replacement therapy, pathogenesis of CKD, familial kidney disease and the environment–genetics interface, onconephrology, technology, SGLT2 inhibitors and outcome prediction. We provide here an overview of the hottest and most impactful topics for 2017–19.

scholarly journals Pesquisa em psicologia do esporte e o cenário de periódicos científicos específicos

2019 ◽  
Vol 17 (2) ◽  
pp. 93-99
Author(s):  
Fábio Hech Dominski
Keyword(s):  
United States ◽  
English Language ◽  
Web Of Science ◽  
The United States ◽  
Google Scholar ◽  
Scientific Journals ◽  
Isi Web Of Science ◽  
Current Scenario ◽  
Publication Language ◽  
The Impact

Introdução: É notável o crescimento na produção de conhecimento na área da psicologia do esporte (PE). O conhecimento produzido pelos pesquisadores ocorre através da publicação de seus trabalhos no formato de artigos em periódicos científicos. Não existe na literatura análises considerando os periódicos específicos da área e suas características. Objetivo: Discutir acerca do cenário atual de periódicos específicos relacionados à PE. Métodos: Trata-se de uma pesquisa documental a respeito dos periódicos de PE. Foram extraídos e analisados dados como país, instituição, editora, língua de publicação, as métricas (JCR - ISI Web of Science, SJR, Citescore e SNIP – Scopus, e índice h5 – Google Scholar), periodicidade, período de publicações e número de artigos publicados em 2018. Resultados: Foram observados 14 periódicos na literatura relacionados diretamente a temática da PE. A maioria dos periódicos (5) é dos Estados Unidos, três da Espanha e três do Reino Unido. Brasil, Itália e Holanda apresentaram um periódico cada. A maioria dos periódicos publica na língua inglesa (13 dos 14). O fator de impacto (JCR) dos periódicos variou de 0,64 a 6,90, cinco periódicos não apresentaram essa métrica em 2018. Neste ano, os periódicos publicaram de 11 até 144 artigos. Conclusão: A partir da análise dos periódicos científicos específicos da PE, verificou-se que os de maior qualidade considerando as métricas analisadas, são dos Estados Unidos e da Europa. No Brasil ressalta-se a necessidade de fortalecimento do periódico específico existente na área, que pode ser realizado a partir da unificação das organizações que atuam na prática profissional e na pesquisa científica em PE. ABSTRACT. Sport psychology research and the specific journals scenario. Background: There is a remarkable growth in the production of knowledge in the field of sports psychology (SP). The knowledge produced by researchers occurs through the publication of their work in the format of articles in scientific journals. There are no analyses in the literature considering the specific journals of the area and their characteristics. Objective: To discuss about the current scenario of specific journals related to SP. Methods: This is a documentary research about the SP journals. The following data were extracted and analyzed: country, institution, publisher, publication language, metrics (JCR - ISI Web of Science, SJR, Citescore and SNIP – Scopus, and index h5 – Google Scholar), periodicity, publication period, and number of articles published in 2018. Results: It was observed 14 journals related to SP. Most of them are from United States, three from Spain and three from United Kingdom. Brazil, Italy and Netherlands showed one journal each. Most of the journals publish in English language (13 of 14). The impact factor ranged from 0.64 to 6.90, and five journals do not show this metric in 2018. In this year, the journals published from 11 to 144 articles. Conclusion: From the analysis of the specific scientific journals of the SP, it was found that the journals with highest quality are from the United States and Europe. In Brazil, there is a need to strengthen the existing specific journal in the area, which can be done by unifying the organizations that work in professional practice and scientific research of SP.

scholarly journals A citation analysis of Serbian Dental Journal using Web of Science, Scopus and Google Scholar

2010 ◽  
Vol 57 (4) ◽  
pp. 201-211 ◽  
Author(s):  
Jelena Jacimovic ◽  
Ruzica Petrovic ◽  
Slavoljub Zivkovic
Keyword(s):  
Web Of Science ◽  
Scientific Information ◽  
Google Scholar ◽  
Bibliographic Databases ◽  
Thomson Scientific ◽  
Significant Difference ◽  
Comprehensive Picture ◽  
Citation Counts ◽  
The Impact ◽  
Citation Databases

Introduction. For a long time, The Institute for Scientific Information (ISI, now Thomson Scientific, Philadelphia, US) citation databases, available online through the Web of Science (WoS), had an unique position among bibliographic databases. The emergence of new citation databases, such as Scopus and Google Scholar (GS), call in question the dominance of WoS and the accuracy of bibliometric and citation studies exclusively based on WoS data. The aim of this study was to determine whether there were significant differences in the received citation counts for Serbian Dental Journal (SDJ) found in WoS and Scopus databases, or whether GS results differed significantly from those obtained by WoS and Scopus, and whether GS could be an adequate qualitative alternative for commercial databases in the impact assessment of this journal. Material and Methods. The data regarding SDJ citation was collected in September 2010 by searching WoS, Scopus and GS databases. For further analysis, all relevant data of both, cited and citing articles, were imported into Microsoft Access? database. Results. One hundred and fifty-eight cited papers from SDJ and 249 received citations were found in the three analyzed databases. 74% of cited articles were found in GS, 46% in Scopus and 44% in WoS. The greatest number of citations (189) was derived from GS, while only 15% of the citations, were found in all three databases. There was a significant difference in the percentage of unique citations found in the databases. 58% originated from GS, while Scopus and WoS gave 6% and 4% unique citations, respectively. The highest percentage of databases overlap was found between WoS and Scopus (70%), while the overlap between Scopus and GS was 18% only. In case of WoS and GS the overlap was 17%. Most of the SDJ citations came from original scientific articles. Conclusion. WoS, Scopus and GS produce quantitatively and qualitatively different citation counts for SDJ articles. None of the examined databases can provide a comprehensive picture and it is necessary to take into account all three available sources.

Research Productivity from Asia in Parkinson’s Disease

2019 ◽  
Vol 9 (2) ◽  
pp. 33-35
Author(s):  
Dimple Gopi ◽  
B. Asha
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Open Access ◽  
Impact Factor ◽  
Research Productivity ◽  
Web Of Science ◽  
Asian Countries ◽  
Microsoft Excel ◽  
Limited Access ◽  
Isi Web Of Science

The paper analyses the literature produced in Parkinson’s research during the last decade (2008-2017) from the Asian countries using scientometric methods. The data was taken from the ISI Web of Science. Using Microsoft excel the data was analyzed. There was no correlation between productivity and impact factor. Though China is found to be ahead of all Asian countries in productivity, its impact factor is less than Japan and Israel. Open access articles were cited more than limited access articles.

scholarly journals Modeling and Prediction of the Impact Factor of Journals Using Open-Access Databases

2020 ◽  
Vol 49 (5) ◽  
pp. 35-58
Author(s):  
Matthias Templ
Keyword(s):  
Open Access ◽  
Impact Factor ◽  
Journal Impact Factor ◽  
Web Of Science ◽  
Functional Relationships ◽  
Modeling And Prediction ◽  
Novel Approach ◽  
The Impact ◽  
Journal Impact ◽  
The Web

This article is motivated by the work as editor-in-chief of the Austrian Journal of Statistics and contains detailed analyses about the impact of the Austrian Journal of Statistics. The impact of a journal is typically expressed by journal metrics indicators. One of the important ones, the journal impact factor is calculated from the Web of Science (WoS) database by Clarivate Analytics. It is known that newly established journals or journals without membership in big publishers often face difficulties to be included, e.g., in the Science Citation Index (SCI) and thus they do not receive a WoS journal impact factor, as it is the case for example, for the Austrian Journal of Statistics. In this study, a novel approach is pursued modeling and predicting the WoS impact factor of journals using open access or partly open-access databases, like Google Scholar, ResearchGate, and Scopus. I hypothesize a functional linear dependency between citation counts in these databases and the journal impact factor. These functional relationships enable the development of a model that may allow estimating the impact factor for new, small, and independent journals not listed in SCI. However, only good results could be achieved with robust linear regression and well-chosen models. In addition, this study demonstrates that the WoS impact factor of SCI listed journals can be successfully estimated without using the Web of Science database and therefore the dependency of researchers and institutions to this popular database can be minimized. These results suggest that the statistical model developed here can be well applied to predict the WoS impact factor using alternative open-access databases. 

scholarly journals Curve Estimation Models for Estimation and Prediction of Impact Factor and CiteScore Using the Journal Percentiles: A Case Study of Telecommunication Journals

2019 ◽  
Vol 15 (14) ◽  
pp. 31 ◽  
Author(s):  
Hilary I Okagbue ◽  
Patience I Adamu ◽  
Sheila A Bishop ◽  
Emmanuela C M Obasi ◽  
Adedotun O Akinola
Keyword(s):  
Impact Factor ◽  
Web Of Science ◽  
Manuscript Submission ◽  
Curve Estimation ◽  
Subject Classifications ◽  
Positive Correlations ◽  
The Impact ◽  
The Web ◽  
Estimation Models

<p class="0abstract">The impact factor  and CiteScore of journals are known to be positively correlated with journal percentile but the use of the later to predict the formers are scarcely discussed, especially for journals in a specific subject classifications based on the web of science. This paper proposed different curve estimation models for predicting the impact factor and CiteScore of 89 telecommunication journals using their corresponding percentiles. Out of the 11 models, only Logistic, exponential, Growth and Compound models are the best models for predicting the impact factor and CiteScore using their corresponding journal percentiles. The models were chosen because of their high values of R Square and Adjusted R Square and low values of the standard error of the estimates. In addition, strong significant positive correlations were obtained between impact factor and the CiteScore of the journals. The findings will help authors and editors in decision making as regards to manuscript submission and planning.</p>

scholarly journals The h-Index of Editorial Board Members Correlates Positively With the Impact Factor of Sports Medicine Journals

2017 ◽  
Vol 5 (3) ◽  
pp. 232596711769402 ◽  
Author(s):  
Jeffrey Kay ◽  
Muzammil Memon ◽  
Darren de SA ◽  
Nicole Simunovic ◽  
Andrew Duong ◽  
...  
Keyword(s):  
Impact Factor ◽  
Sports Medicine ◽  
Regression Models ◽  
Web Of Science ◽  
Scientific Publication ◽  
Board Members ◽  
Faculty Position ◽  
H Index ◽  
The Impact

Background: The h-index is a metric widely used to present both the productivity and impact of an author’s previous publications. Purpose: To evaluate and observe any correlations among the h-indices of 2015 editorial board members from 8 top sports medicine journals. Study Design: Systematic review. Methods: The sex, country of residence, degree, and faculty position of the editorial board members were identified using their respective scientific publication profiles. The h-index and other bibliometric indicators of these editorial board members were obtained using both the Web of Science (WoS) and Google Scholar (GS) databases. Nonparametric statistics were used to analyze differences in h-index values, and regression models were used to assess the ability of the editorial board member’s h-index to predict their journal’s impact factor (IF). Results: A total of 422 editorial board members were evaluated. The median h-index of all editors was 20 (interquartile range [IQR], 19) using GS and 15 (IQR, 15) using WoS. GS h-index values were 1.19 times higher than WoS, with significant correlation between these values ( r2 = 0.88, P = .0001). Editorial board members with a PhD had significantly higher h-indices than those without (GS, P = .0007; WoS, P = .0002), and full professors had higher h-indices than associate and assistant professors (GS, P = .0001; WoS, P = .0001). Overall, there were significant differences in the distribution of the GS ( P < .0001) and WoS ( P < .0001) h-indices of the editorial board members by 2014 IF of the journals. Both the GS h-index (β coefficient, 0.01228; 95% CI, 0.01035-0.01423; P < .0001) as well as the WoS h-index (β coefficient, 0.01507; 95% CI, 0.01265-0.01749; P < .0001) of editorial board members were significant predictors of the 2014 IF of their journal. Conclusion: The h-indices of editorial board members of top sports medicine journals are significant predictors of the IF of their respective journals.

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