2016
DOI: 10.18549/pharmpract.2014.03.842
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Bradford’s law, the long tail principle, and transparency in Journal Impact Factor calculations

Abstract: Beyond the commonly mentioned limitations of the Journal Impact Factor, we discuss the obsolete principle of selecting journals to create a fake-representative sample of ‘journals that matter’ and the opacity around the calculation and listing of Impact Factors. We use the example of Pharmacy Practice: in 2015 for illustration. We hypothesize that a business-oriented system of measuring the science and quality of scholarly journals may not be the best option to avoid biases and conflicts of interest.

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Cited by 21 publications
(18 citation statements)
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“…That is, the IF value is highly affected by the skewness in the data distribution introduced by only a small fraction of highly-cited papers in a journal (Lozano et al 2012 ; Larivière et al 2016 ). Some journals have discontinued its use and some countries have recently restricted the use of the SCI system in academic evaluations (Verma 2015 ; Fernandez-Llimos 2016 ; Qian et al 2020 ; Zhu 2020 ). The trend of JFR’s metrics over the recent years, however, suggests an upward trajectory of the journal’s impact and visibility.…”
Section: Introductionmentioning
confidence: 99%
“…That is, the IF value is highly affected by the skewness in the data distribution introduced by only a small fraction of highly-cited papers in a journal (Lozano et al 2012 ; Larivière et al 2016 ). Some journals have discontinued its use and some countries have recently restricted the use of the SCI system in academic evaluations (Verma 2015 ; Fernandez-Llimos 2016 ; Qian et al 2020 ; Zhu 2020 ). The trend of JFR’s metrics over the recent years, however, suggests an upward trajectory of the journal’s impact and visibility.…”
Section: Introductionmentioning
confidence: 99%
“…Some caveats to Figures 3–8 should be mentioned. First, calculating JIF is frequently irreproducible because Clarivate does not provide the necessary raw data (Fernandez‐Llimos, 2016; Rossner et al, 2007). For this study, data were collected manually from the WOS database but it is unclear whether these data match the data that Clarivate uses.…”
Section: Resultsmentioning
confidence: 99%
“…These items, and particularly in the modern biomedicine, contain long lists of references, affecting the JIF calculations in many ways. It should be also stressed that the lack of transparency of the JIF calculations, which is partly due to the lack of open access to citations tracked by Thomson Reuters databases (64), damages reputation of the JIF as a reliable and reproducible scientometric tool.…”
Section: Resultsmentioning
confidence: 99%