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I see that many researchers circulate a new website (predatoryreports.org) that published a list of all MDPI predatory journals. As a guy who has studied #predatoryjournals for over eight years, I’ve found such lists to be a bad idea. I’ll tell you why 👇
Firstly, scholarly communication has an important geopolitical dimension. Researchers in many countries are forced to publish in MDPI journals because national science policies recognize them.
So, for many researchers, it might be a good idea (i.e. in line with the institutional or national policy) to have papers in MDPI journals because they are „countable”. In this way, they "secure" their workplace.
Heyy! #marineresearchers!!!!
Interesting discussion:
- Publishing in high impact factor journals?
or
- Publishing in journals maximizing the citations?
see tread below
#Impactfactor #metrics #scientometrics #science #citations
Interesting discussion:
- Publishing in high impact factor journals?
or
- Publishing in journals maximizing the citations?
see tread below
#Impactfactor #metrics #scientometrics #science #citations
I have made a small research:
- Selected several journals with impact factors between 1.6 and 49.5
- Looking in Scopus for papers published in 2020
- Looking at the papers which didn't receive citations until now
and the results are....👇👇👇👇👇
- Selected several journals with impact factors between 1.6 and 49.5
- Looking in Scopus for papers published in 2020
- Looking at the papers which didn't receive citations until now
and the results are....👇👇👇👇👇
You can see the results here:
- Papers published in Science didn't receive citations in 46.6% of cases
- In Nature this is 27.5%
You can be very happy publishing there, but maybe you will never receive a citation!!!!!
- Papers published in Science didn't receive citations in 46.6% of cases
- In Nature this is 27.5%
You can be very happy publishing there, but maybe you will never receive a citation!!!!!
LLM like ChatGPT may mean trouble for SEO and online ads, fine. But maybe they will finally make the academia stop using simple productivity/popularity metrics like citation or publication counts as a measure of research quality.
These metrics "work" only because writing and publishing an article comes with a cost and effort (to find an idea, make research, write it down etc). If the cost to writing is almost zero and incentive to publish is so high, the metric will get inflated and stop meaning anything.
Which will be essentially a good thing. We will be forced to find better proxies for quality. But they will also have to be better than asking the PeerReviewGPT to do the research assessment for us... #AcademicTwitter #scientometrics
