Impact factor of Journal =
(number of times of articles that are cited in the journals) / (total number of articles that published in this journal)
The journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the JCR year
The journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the JCR year
The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.
Impact factor of Journal =
(number of times of articles that are cited in the journals) / (total number of articles that published in this journal)
It is the measure of the average number of times that articles from a particular journal are cited
The impact factor of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal.
So I don't get why people trained as scientists believe in this IF bullshit. They seem happy to prostrate themselves to the IF religion, against all reason. Well maybe I can see why, because it strokes scientists egos and we exist in some kind of scientific meritocracy where bean-counting decides worth, promotion, etc ... But how does it make sense to send a manuscript to a journal such as "Gloss" with an inflated high IF where no one knows of your work and probably all submissions are lured in by a high IF; as opposed to sending it to a journal where the readership knows your work and is interested in it, and the paper will get cited over 100 times?
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