Dear All
IF was used to be calculated by some formulae like below.
See for below journal when I calculated the Impact factor it was 27.34 but in reality is it around 2.0 So what is going any body knows?
IF 2020 = (2371 + 2226) / (88 + 78) = 27.69 (which is wrong)
https://www.bioxbio.com/journal/PERS-UBIQUIT-COMPUT
So below method is not correct or has something missing.
The 2013 impact factor of a journal would be calculated as follows:
2013 impact factor = A/B.
where:
A = the number of times that all items published in that journal in 2011 and 2012 were cited by indexed publications during 2013.
B = the total number of "citable items" published by that journal in 2011 and 2012. ("Citable items" for this calculation are usually articles, reviews, proceedings, or notes; not editorials or letters to the editor).
Dear Ali Daud ,
The thing is that the link you refer to mention total citations. Meaning all the citations the journal received for all their papers throughout the years so also from years before those that are used in the calculation.
See also figure.
The clue is that let us assume that out of the 2371 + 2226 citations approximately 332 relate to papers published in 2017 and 2018/19. Then this would give, 332 divided by (88 +78=) 166, an impact factor round two.
In other words, as depicted in the enclosed figure, the number of citations relevant for the calculation are a subset of the total number of citations in the relevant period.
Hope this clarifies the matter somewhat.
Best regards.
PS. The journal you talk about publishes since 1997, assume they publish 60 papers every year then this would mean that they published in the meantime more than 1200 papers. These are apparently responsible for the main part of the total of citations this journal received (roughly 1.5 citation per paper).
Impact Factor is calculated by dividing the number of citations in the JCR year by the total number of articles published in the two previous years.
No, I don't think that Clarivate Analytics has changed the formula that used to calculate the Journal Impact Factor. Perhaps the data (total cites and total articles) included in the given website may not equal to the figures recorded by WoS database.
The Clarivate Analytics Impact Factor:
https://clarivate.com/webofsciencegroup/essays/impact-factor/
I agree with @Manjula the Clarivate Analytics have not changed the formula of calculating the impact factor. The same formula is used.
The Journal Impact Factor is published each year by Clarivate Analytics. It is a measure of the number of times an average paper in a particular journal is cited during the preceding two years. For example:
A = the number of times articles published in a specific journal in 2014 and 2015 were cited by journals during 2016. B = the total number of 'citable items' published by that journal in 2014 and 2015. ('Citable items' are usually articles, reviews, proceedings, etc.; not editorials or letters-to-the-editor.)
2016 impact factor = A/B.
Dear Ali Daud ,
The thing is that the link you refer to mention total citations. Meaning all the citations the journal received for all their papers throughout the years so also from years before those that are used in the calculation.
See also figure.
The clue is that let us assume that out of the 2371 + 2226 citations approximately 332 relate to papers published in 2017 and 2018/19. Then this would give, 332 divided by (88 +78=) 166, an impact factor round two.
In other words, as depicted in the enclosed figure, the number of citations relevant for the calculation are a subset of the total number of citations in the relevant period.
Hope this clarifies the matter somewhat.
Best regards.
PS. The journal you talk about publishes since 1997, assume they publish 60 papers every year then this would mean that they published in the meantime more than 1200 papers. These are apparently responsible for the main part of the total of citations this journal received (roughly 1.5 citation per paper).
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