This won't really work because there are hundreds of non-predatory journals that have no impact factor. Further, impact factor is confounded by a multitude of issues central to why so many have been rejecting it.
It is already a fact that impact factor is a better predictor of whether a paper will need to be retracted than it is an indicator of whether or not a paper will be cited. What does that tell you? When you rate nonparametric data with parametric stats you are going to have some serious illusions. Impact factor is a mean, thus a statistic intended for use with a parametric distribution. Citation rates of journals are not parametrically distributed, in fact, they are not even close to parametric. The last study demonstrated they are a power curve. Good job JCR. On Thu, Apr 13, 2017 at 5:51 AM, Mudelsee M < mudel...@climate-risk-analysis.com> wrote: > Dear Jorge, > > good question! > > One could study it by taking paired data, let us say: average article > processing fee (APF) and Impact Factor (IF). (Admittedly a lot of data > gathering work!) > > The first thing would be to make a scatter plot and look wether the data > are compatible with a linear or at least monotonic relation between APF and > IF. One can use Pearson's correlation coefficient (linear relation) or > Spearman's rank correlation coefficient (monotonic relation). (Caution > needs to be exercised when assessing the significance and accuracy of these > correlation numbers since the standard packages usually assume Gaussian > distributions, w´hich very likely seems not to be the case for either APF > or IF. (One may study the distributions using histograms or, more advanced, > kernel estimation.) > > If the data appear incompatible with a monotonic function, then this is a > challenge to go beyond the scatterplot analysis; nonlinear measures (mutual > information) could help, but it may be difficult to assess the associated > uncertainties. > > My gut feeling is that at first order the model may be monotonic: high-IF > journals should not rely in first instance on making money from APF, while > low-IF (especially "predatory") "journals" should rely on APF more strongly. > > I have not check the research literature whether such analyses have > already been done. > > I am sorry if this answer is too long, but I thought to take this > opportunity to illustrate the usefulness of statistical science. > > Best wishes > > Manfred > > > Am 11.04.2017 um 18:29 schrieb Jorge A. Santiago-Blay: > >> Are page charges related to Impact Factor? >> >> Dear Colleagues: >> >> I just finished listening to a great talk of recent scholarly >> publication trends and, as I reflect on the talk, I wonder if any of you >> know whether there is a relationship between the Thomson Reuters IF and >> page charges for scholarly journals. >> >> If any of you know, please send me an email to blayjo...@gmail.com >> <mailto:blayjo...@gmail.com> >> >> Apologies for potentially duplicate emails. >> >> Gratefully, >> >> Jorge >> >> Jorge A. Santiago-Blay, PhD >> blaypublishers.com <http://blaypublishers.com> >> >> 1. Positive experiences for authors of papers published >> in */LEB/* http://blaypublishers.com/testimonials/ >> >> 2. Free examples of papers published >> in */LEB/*: http://blaypublishers.com/category/previous-issues/. >> >> 3. /Guidelines for Authors/ and page charges >> of */LEB/*: http://blaypublishers.com/archives/ /./ >> >> 4. Want to subscribe to */LEB/*? http://blaypublishers.com/subscriptions/ >> >> >> http://blayjorge.wordpress.com/ >> http://paleobiology.si.edu/staff/individuals/santiagoblay.cfm >> > > -- > Dr. Manfred Mudelsee > > Chief Executive Officer > Climate Risk Analysis > Kreuzstrasse 27 > Heckenbeck > 37581 Bad Gandersheim > Germany > > Telephone: +49 5563 9998140 > Email: mudel...@climate-risk-analysis.com > URL: http://www.climate-risk-analysis.com > Skype: mudelsee1 > LinkedIn: https://de.linkedin.com/in/mudelsee > Twitter: @MMudelsee > > Climate Time Series and Risk Analyses > Book: http://www.manfredmudelsee.com/book/ > Courses: http://www.climate-risk-analysis.com/courses/ > -- Malcolm L. 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