Document (#36768)

Author

Bornmann, L.
Leydesdorff, L.

Title

Which cities produce more excellent papers than can be expected? : a new mapping approach, using Google Maps, based on statistical significance testing

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.10, S.1954-1962

Year

2011

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.

Theme

Informetrie

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5. Bornmann, L.: Interrater reliability and convergent validity of F1000Prime peer review (2015) 0.17

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