[Sigmetrics] excellence networks

[Jonathan Adams]

Lutz

This is excellent and a very useful tool.  I am already loving the
analyses.  Your team is doing us all a great service.

Jonathan


On 13 January 2016 at 09:32, Bornmann, Lutz <lutz.bornmann at gv.mpg.de> wrote:

> Dear colleagues,
>
>
>
> You might be interested in our new Web-based application:
> www.excellence-networks.net
>
>
>
> This web application visualizes how successful universities or
> research-focused institutions collaborate. The application is based on
> papers (articles, reviews and conference papers) published between 2007 and
> 2011 in 17 subject areas. For each subject area, those institutions
> (universities and research-focused institutions worldwide) were selected in
> the SCImago Institutions Ranking which published at least 500 papers in the
> publication period. We refer to these institutions as "reference
> institutions". For every reference institution, the collaborating
> institutions were identified. Collaborating institutions are those which
> have co-authored at least ten publications with the respective reference
> institution. We refer to the collaborating institutions as “network
> institutions”. We estimated statistical models (Bayesian multilevel
> logistic regressions) for the 17 subject areas. The statistically estimated
> best paper rates which the reference institutions have achieved with its
> network institutions are visualized. The best paper rate gives the
> proportion of highly cited papers from an institution and is considered
> generally as a robust indicator for measuring citation impact.
> Co-authorship networks (based on institutional affiliations) show how
> successfully overall an institution (reference institution) has
> collaborated compared to all the other institutions in a subject area, and
> with which other institutions (network institutions) an institution has
> collaborated best.
>
>
>
> The corresponding paper which is accepted for publication in the Journal
> of Informetrics can be downloaded here: http://arxiv.org/abs/1508.03950
>
>
>
> ---------------------------------------
>
>
>
> 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
>
>
>
> _______________________________________________
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>
>


-- 
Dr Jonathan Adams
Chief Scientist, Digital Science
Visiting Professor, King's College London
*http://www.kcl.ac.uk/sspp/policy-institute/people/kpi-visiting/adams.aspx
<http://www.kcl.ac.uk/sspp/policy-institute/people/kpi-visiting/adams.aspx>*

M/ +44 7964 908449
E/ j.adams at digital-science.com

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