excellent papers

[Prabir G. Dastidar]

   -
*Dear Francis,  *
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*It would be nice if you upload the paper for us. *
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*I am sure, this may be a useful reference. *
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*Regards, *
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- *Prabir*



On Tue, Jan 28, 2014 at 2:27 AM, Francis Narin <narinf at cox.net> wrote:

> Adminstrative info for SIGMETRICS (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
> Lutz,
>
>     We started using "top decile" as a citation metric in our work for NIH
> in the late 1980's, but used it mainly in reports to NIH, not in
> publications.
>
>     However, one rather obscure but published paper, referenced below,
> showed that papers associated with important Cancer advances were far more
> highly cited than average compared to controls - typically, 40-60% of the
> paper associated with the key advances were in the top deciles of cited
> papers.
>
>     “The Impact of Different Modes of Research Funding”,Francis Narin, In
> “The Evaluation of Scientific Research”, CIBA Foundation Conference, John
> Wiley Publishers, 120-140, 1989.
>
>     I can scan a copy of the paper for you, if you like.
>
>         Francis Narin ( narinf at cox.net)
>
>
>
>
>
> On 1/27/2014 12:36 AM, Bornmann, Lutz wrote:
>
>  How are excellent (highly cited) papers defined in bibliometrics? A
> quantitative analysis of the literature
>
> Lutz Bornmann <http://arxiv.org/find/cs/1/au:+Bornmann_L/0/1/0/all/0/1>
>
> (Submitted on 22 Jan 2014)
>
> As the subject of research excellence has received increasing attention
> (in science policy) over the last few decades, increasing numbers of
> bibliometric studies have been published dealing with excellent papers.
> However, many different methods have been used in these studies to identify
> excellent papers. The present quantitative analysis of the literature has
> been carried out in order to acquire an overview of these methods and an
> indication of an "average" or "most frequent" bibliometric practice. The
> search in the Web of Science yielded 321 papers dealing with "highly
> cited", "most cited", "top cited" and "most frequently cited". Of the 321
> papers, 16 could not be used in this study. In around 80% of the papers
> analyzed in this study, a quantitative definition has been provided with
> which to identify excellent papers. With definitions which relate to an
> absolute number, either a certain number of top cited papers (58%) or
> papers with a minimum number of citations are selected (17%). Around 23%
> worked with percentile rank classes. Over these papers, there is an
> arithmetic average of the top 7.6% (arithmetic average) or of the top 3%
> (median). The top 1% is used most frequently in the papers, followed by the
> top 10%. With the thresholds presented in this study, in future, it will be
> possible to identify excellent papers based on an "average" or "most
> frequent" practice among bibliometricians.
>
>
>
> Available at: http://arxiv.org/abs/1401.5986
>
>
>
> ---------------------------------------
>
>
>
> Dr. Dr. habil. Lutz Bornmann
>
> Division for Science and Innovation Studies
>
> Administrative Headquarters of the Max Planck Society
>
> Hofgartenstr. 8
>
> 80539 Munich
>
> Tel.: +49 89 2108 1265
>
> Mobil: +49 170 9183667
>
> Email: bornmann at gv.mpg.de
>
> WWW: www.lutz-bornmann.de
>
> ResearcherID: http://www.researcherid.com/rid/A-3926-2008
>
> ResearchGate: http://www.researchgate.net/profile/Lutz_Bornmann
>
>
>
>
>


-- 
*-------------------------------------------------------------------------------------------*






*Dr.Prabir G.DastidarScientist/DirectorMinistry of Earth sciencesPrithvi
Bhavan (Opposite to India Habitat Centre)Lodi RoadNew Delhi- 110003INDIA.*

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