Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing
Identifieur interne : 000A95 ( Main/Exploration ); précédent : 000A94; suivant : 000A96Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing
Auteurs : Lutz Bornmann [Allemagne] ; Loet Leydesdorff [Pays-Bas, Niger]Source :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2011-10.
Abstract
The methods presented in this paper allow for a statistical analysis revealing centers of excellence around the world using programs that are freely available. Based on Web of Science data (a fee‐based database), field‐specific excellence can be identified in cities where highly cited papers were published more frequently than can be expected. Compared to the mapping approaches published hitherto, our approach is more analytically oriented by allowing the assessment of an observed number of excellent papers for a city against the expected number. Top performers in output are cities in which authors are located who publish a statistically significant higher number of highly cited papers than can be expected for these cities. As sample data for physics, chemistry, and psychology show, these cities do not necessarily have a high output of highly cited papers.
Url:
DOI: 10.1002/asi.21611
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A new mapping approach, using Google Maps, based on statistical significance testing</title><author><name sortKey="Bornmann, Lutz" sort="Bornmann, Lutz" uniqKey="Bornmann L" first="Lutz" last="Bornmann">Lutz Bornmann</name><affiliation wicri:level="3"><country xml:lang="fr">Allemagne</country><wicri:regionArea>Max Planck Society, Hofgartenstr. 8, 80539 Munich</wicri:regionArea><placeName><region type="land" nuts="1">Bavière</region><region type="district" nuts="2">District de Haute-Bavière</region><settlement type="city">Munich</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Allemagne</country></affiliation></author><author><name sortKey="Leydesdorff, Loet" sort="Leydesdorff, Loet" uniqKey="Leydesdorff L" first="Loet" last="Leydesdorff">Loet Leydesdorff</name><affiliation wicri:level="1"><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Amsterdam School of Communication Research, University of Amsterdam, Kloveniersburgwal 48, NL‐1012 CX Amsterdam</wicri:regionArea><wicri:noRegion>NL‐1012 CX Amsterdam</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Niger</country></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of the American Society for Information Science and Technology</title><title level="j" type="abbrev">J. Am. Soc. Inf. Sci.</title><idno type="ISSN">1532-2882</idno><idno type="eISSN">1532-2890</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2011-10">2011-10</date><biblScope unit="volume">62</biblScope><biblScope unit="issue">10</biblScope><biblScope unit="page" from="1954">1954</biblScope><biblScope unit="page" to="1962">1962</biblScope></imprint><idno type="ISSN">1532-2882</idno></series><idno type="istex">019AE3644E9D6A184A6EA7DCA8EDF4767C25A1DE</idno><idno type="DOI">10.1002/asi.21611</idno><idno type="ArticleID">ASI21611</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1532-2882</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The methods presented in this paper allow for a statistical analysis revealing centers of excellence around the world using programs that are freely available. Based on Web of Science data (a fee‐based database), field‐specific excellence can be identified in cities where highly cited papers were published more frequently than can be expected. Compared to the mapping approaches published hitherto, our approach is more analytically oriented by allowing the assessment of an observed number of excellent papers for a city against the expected number. Top performers in output are cities in which authors are located who publish a statistically significant higher number of highly cited papers than can be expected for these cities. As sample data for physics, chemistry, and psychology show, these cities do not necessarily have a high output of highly cited papers.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Niger</li><li>Pays-Bas</li></country><region><li>Bavière</li><li>District de Haute-Bavière</li></region><settlement><li>Munich</li></settlement></list><tree><country name="Allemagne"><region name="Bavière"><name sortKey="Bornmann, Lutz" sort="Bornmann, Lutz" uniqKey="Bornmann L" first="Lutz" last="Bornmann">Lutz Bornmann</name></region><name sortKey="Bornmann, Lutz" sort="Bornmann, Lutz" uniqKey="Bornmann L" first="Lutz" last="Bornmann">Lutz Bornmann</name></country><country name="Pays-Bas"><noRegion><name sortKey="Leydesdorff, Loet" sort="Leydesdorff, Loet" uniqKey="Leydesdorff L" first="Loet" last="Leydesdorff">Loet Leydesdorff</name></noRegion></country><country name="Niger"><noRegion><name sortKey="Leydesdorff, Loet" sort="Leydesdorff, Loet" uniqKey="Leydesdorff L" first="Loet" last="Leydesdorff">Loet Leydesdorff</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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