Whenever people start discussing impact factors, I like to call to
their attention this paper from Current Biology that was written by
Peter Lawrence of Cambridge.
PA Lawrence, the mismeasurement of science
http://making-of-a-fly.me/files/pdf/mism_science.pdf
I have included an excerpt here:
"Answer from the hero in Leo
Szilard’s 1948 story “The Mark
Gable Foundation” when asked
by a wealthy entrepreneur
who believes that science has
progressed too quickly, what he
should do to retard this progress:
“You could set up a foundation
with an annual endowment of
thirty million dollars. Research
workers in need of funds could
apply for grants, if they could
make a convincing case. Have
ten committees, each composed
of twelve scientists, appointed to
pass on these applications. Take
the most active scientists out of
the laboratory and make them
members of these committees.
...First of all, the best scientists
would be removed from their
laboratories and kept busy
on committees passing on
applications for funds. Secondly
the scientific workers in need
of funds would concentrate on
problems which were considered
promising and were pretty certain
to lead to publishable results.
...By going after the obvious,
pretty soon science would dry
out. Science would become
something like a parlor game.
...There would be fashions. Those
who followed the fashions would
get grants. Those who wouldn’t
would not.”

On Mon, Aug 26, 2013 at 6:39 AM, Daniel Hocking <[email protected]> wrote:
> Calculating an impact factor from a larger database satisfies one of the
> smallest problems with the impact factor. I think it's already been done for
> the Scopus database for some journals. It is still a bit absurd to draw too
> much inference based solely from the mean of a highly non-normal
> distribution (usually looks like exponential decay with a few papers getting
> many citations and most others having very few). There are many better
> citation-based metrics of influence. I have a preprint available on the
> subject comparing 11 metrics for 110 ecology journals:
> https://peerj.com/preprints/43/
>
> I'm still revising the paper and looking for an appropriate outlet, but as
> the article suggests, I recommend using the Article Influence score in place
> of the impact factor (still reporting in the JCR). The Eigenfactor can be
> used to make other inferences, and the SJR and SNIP (calculated from Scopus)
> can be used to compare among different fields of study, controlling somewhat
> for differences in citation and publishing practices.
>
> Cheers,
> Dan
>
>



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