scholarly journals An Insight into the Research Performance of the Egyptian Faculties of Veterinary Medicine based on the Journal Impact Factor and Citation Counts

2017 ◽  
Vol 5 (3) ◽  
pp. 179-188
Author(s):  
Doaa Kamal El-Berry
2019 ◽  
Vol 58 (2) ◽  
pp. 282-300
Author(s):  
Felicitas Hesselmann ◽  
Cornelia Schendzielorz

This contribution seeks to provide a more detailed insight into the entanglement of value and measurement. Drawing on insights from semiotics and a Bourdieusian perspective on language as an economy of linguistic exchange, we develop the theoretical concept of value-measurement links and distinguish three processes – operationalisation, nomination, and indetermination – as forms in which these links can be constructed. We illustrate these three processes using (e)valuation practices in science, particularly the journal impact factor, as an empirical object of investigation. As this example illustrates, measured values can function as building blocks for further measurements, and thus establish chains of evaluations, where it becomes more and more obscure which values the measurements actually express. We conclude that in the case of measured values such as impact factors, these chains are driven by the interplay between the interpretative openness of language and the seeming tendency of numbers to fixate meaning thus continually re-creating, transforming and modifying values.


2019 ◽  
Author(s):  
Miguel Abambres ◽  
Tiago Ribeiro ◽  
Ana Sousa ◽  
Eva Olivia Leontien Lantsoght

‘If there is one thing every bibliometrician agrees, is that you should never use the journal impact factor (JIF) to evaluate research performance for an article or an individual – that is a mortal sin’. Few sentences could define so precisely the uses and misuses of the Journal Impact Factor (JIF) better than Anthony van Raan’s. This manuscript presents a critical overview on the international use, by governments and institutions, of the JIF and/or journal indexing information for individual research quality assessment. Interviews given by Nobel Laureates speaking on this matter are partially illustrated in this work. Furthermore, the authors propose complementary and alternative versions of the journal impact factor, respectively named Complementary (CIF) and Timeless (TIF) Impact Factors, aiming to better assess the average quality of a journal – never of a paper or an author. The idea behind impact factors is not useless, it has just been misused.


2019 ◽  
Author(s):  
Amanda Costa Araujo Sr ◽  
Adriane Aver Vanin Sr ◽  
Dafne Port Nascimento Sr ◽  
Gabrielle Zoldan Gonzalez Sr ◽  
Leonardo Oliveira Pena Costa Sr

BACKGROUND The most common way to assess the impact of an article is based upon the number of citations. However, the number of citations do not precisely reflect if the message of the paper is reaching a wider audience. Currently, social media has been used to disseminate contents of scientific articles. In order to measure this type of impact a new tool named Altmetric was created. Altmetric aims to quantify the impact of each article through the media online. OBJECTIVE This overview of methodological reviews aims to describe the associations between the publishing journal and the publishing articles variables with Altmetric scores. METHODS Search strategies on MEDLINE, EMBASE, CINAHL, CENTRAL and Cochrane Library including publications since the inception until July 2018 were conducted. We extracted data related to the publishing trial and the publishing journal associated with Altmetric scores. RESULTS A total of 11 studies were considered eligible. These studies summarized a total of 565,352 articles. The variables citation counts, journal impact factor, access counts (i.e. considered as the sum of HTML views and PDF downloads), papers published as open access and press release generated by the publishing journal were associated with Altmetric scores. The magnitudes of these correlations ranged from weak to moderate. CONCLUSIONS Citation counts and journal impact factor are the most common associators of high Altmetric scores. Other variables such as access counts, papers published in open access journals and the use of press releases are also likely to influence online media attention. CLINICALTRIAL N/A


2018 ◽  
Author(s):  
Miguel Abambres ◽  
Tiago Ribeiro ◽  
Ana Sousa ◽  
Eva Olivia Leontien Lantsoght

If there is one thing every bibliometrician agrees, is that you should never use the journal impact factor (JIF) to evaluate research performance for an article or an individual-that is a mortal sin'. Few sentences could define so precisely the uses and misuses of the Journal Impact Factor (JIF) better than Anthony van Raan's. This manuscript presents a critical overview on the international use, by governments and institutions, of the JIF and/or journal indexing information for individual research quality assessment. Interviews given by Nobel Laureates speaking on this matter are partially illustrated in this work. Furthermore, the authors propose complementary and alternative versions of the journal impact factor, respectively named Complementary (CIF) and Timeless (TIF) Impact Factors, aiming to better assess the average quality of a journal-never of a paper or an author. The idea behind impact factors is not useless, it has just been misused.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Amanda Costa Araujo ◽  
Adriane Aver Vanin ◽  
Dafne Port Nascimento ◽  
Gabrielle Zoldan Gonzalez ◽  
Leonardo Oliveira Pena Costa

Abstract Background Social media has been used to disseminate the contents of scientific articles. To measure the impact of this, a new tool called Altmetric was created. Altmetric aims to quantify the impact of each article through online media. This systematic review aims to describe the associations between the publishing journal and published article variables and Altmetric scores. Methods Searches on MEDLINE, EMBASE, CINAHL, CENTRAL, and Cochrane Library were conducted. We extracted data related to both the publishing article and the publishing journal associated with Altmetric scores. The methodological quality of included articles was analyzed by the Appraisal Tool for Cross-sectional Studies. Results A total of 19 articles were considered eligible. These articles summarized a total of 573,842 studies. Citation counts, journal impact factor, access counts, papers published as open access, and press releases generated by the publishing journal were associated with Altmetric scores. The magnitude of these associations ranged from weak to strong. Conclusion Citation counts and journal impact factor are the most common variables associated with Altmetric scores. Other variables such as access counts, papers published in open access journals, and the use of press releases are also likely to be associated with online media attention. Systematic review registration This review does not contain health-related outcomes. Therefore, it is not eligible for registration.


2020 ◽  
Author(s):  
Amanda Costa Araujo ◽  
Adriane Aver Vanin ◽  
Dafne Port Nascimento ◽  
Gabrielle Zoldan Gonzalez ◽  
Leonardo Oliveira Pena Costa

Abstract Background: Currently, social media has been used to disseminate contents of scientific articles. In order to measure this type of impact a new tool named Altmetric was created. Altmetric aims to quantify the impact of each article through the media online. This overview of methodological reviews aims to describe the associations between the publishing journal and the publishing articles variables with Altmetric scores. Methods: Search strategies on MEDLINE, EMBASE, CINAHL, CENTRAL and Cochrane Library. We extracted data related to the publishing trial and the publishing journal associated with Altmetric scores. Results: A total of 11 studies were considered eligible. These studies summarized a total of 565,352 articles. The variables citation counts, journal impact factor, access counts, papers published as open access and press release generated by the publishing journal were associated with Altmetric scores. The magnitudes of these correlations ranged from weak to moderate. Conclusion: Citation counts and journal impact factor are the most common associators of high Altmetric scores. Other variables such as access counts, papers published in open access journals and the use of press releases are also likely to influence online media attention.Systematic Review registrations: Not applicable


2021 ◽  
pp. 1-22
Author(s):  
Metin Orbay ◽  
Orhan Karamustafaoğlu ◽  
Ruben Miranda

This study analyzes the journal impact factor and related bibliometric indicators in Education and Educational Research (E&ER) category, highlighting the main differences among journal quartiles, using Web of Science (Social Sciences Citation Index, SSCI) as the data source. High impact journals (Q1) publish only slightly more papers than expected, which is different to other areas. The papers published in Q1 journal have greater average citations and lower uncitedness rates compared to other quartiles, although the differences among quartiles are lower than in other areas. The impact factor is only weakly negative correlated (r=-0.184) with the journal self-citation but strongly correlated with the citedness of the median journal paper (r= 0.864). Although this strong correlation exists, the impact factor is still far to be the perfect indicator for expected citations of a paper due to the high skewness of the citations distribution. This skewness was moderately correlated with the citations received by the most cited paper of the journal (r= 0.649) and the number of papers published by the journal (r= 0.484), but no important differences by journal quartiles were observed. In the period 2013–2018, the average journal impact factor in the E&ER has increased largely from 0.908 to 1.638, which is justified by the field growth but also by the increase in international collaboration and the share of papers published in open access. Despite their inherent limitations, the use of impact factors and related indicators is a starting point for introducing the use of bibliometric tools for objective and consistent assessment of researcher.


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