There was a recent blog post at Frontiers pointing out that journals' publicly-available rejection rates are not associated with their impact factors. Their post discusses several factors that contribute to this, but I've been thinking about how rejection rates are calculated, particularly publicly stated rejection rates. For example, the 2013 rejection rate for both JEP:LMC and JEP:HPP is 78% and JEP:General is slightly higher at 83%. These are top-tier experimental psychology journals and those rejection rates seem intuitively appropriate for selective outlets, but I think they might be inflated because many papers are rejected with an invitation to revise and resubmit.
At the interface of psychology, neuroscience, and neuropsychology with a focus on computational and statistical modeling.
Showing posts with label impact factors. Show all posts
Showing posts with label impact factors. Show all posts
Friday, February 19, 2016
Friday, February 8, 2013
Using R to get h5-index for a list of journals
In my last blog post I wrote about impact factors and h-index for different journals. That got me wondering about what the h5 index is for all of the journals that I read and may want to publish in. I could look them all up individually, but that sounds boring and monotonous. I'd much rather figure out how to get R to do it for me. I've never done this kind of thing with R before, so it took a little while, but I wrote a simple function that takes a journal name and returns its h5-index.
Thursday, February 7, 2013
Impact factor vs. H-index
I've been thinking about journal rankings and impact factors lately, partly because I noticed that impact factors and H-index sometimes give quite different rankings for journals. To pick one example, Neuropsychologia and Cortex are two very good cognitive neuroscience journals that publish similar sorts of articles, but the impact factor for Cortex is substantially higher than for Neuropsychologia (6.08 vs. 3.636), whereas the H-index is substantially higher for Neuropsychologia than for Cortex (67 vs. 41). In case you are unfamiliar with these measures, impact factor is basically the mean number of citations to articles that were published in the past 2 years; H-index is the largest number h such that h articles have at least h citations each. So the articles published in Cortex have been cited an average of about 6 times and there are 41 articles that have been cited at least 41 times; the articles in Neuropsychologia have been cited an average of about 3.6 times and there are 67 articles that have been cited at least 67 times. Since both measures are based on citation rates, why do they give different rankings?
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