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Measuring Science (II) Morten Brendstrup-Hansen. No science without scientific publications Scientific publications are direct and tangible products of.

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Presentation on theme: "Measuring Science (II) Morten Brendstrup-Hansen. No science without scientific publications Scientific publications are direct and tangible products of."— Presentation transcript:

1 Measuring Science (II) Morten Brendstrup-Hansen

2 No science without scientific publications Scientific publications are direct and tangible products of scientific activity Therefore, the idea of a measure of scientific performance based on publications is sound and straightforward

3 Peer review vs. bibliometric analysis Peer review may be accurate, but is time consuming and may easily be (suspect of being) biased The accuracy of a scholarly founded formal bibliometric analysis may be examined and its validity may be discussed A bibliometric analysis is based on publicly available (and easily collected) data

4 In bibliometrics, what should we count/calculate? Where do we find the data for bibliometric analyses?

5 Total number of papers Measures quantity, but does not take quality into account; does not give due weight to influence

6 Number of 'quality papers' e.g. defined as papers in ISI-journals Relies on the inclusion in a particular journal as a measure of quality instead of trying to assess the actual quality of the paper

7 Total number of citations Measures influence, but may be inflated by a small number of unrepresentative big hits

8 Number of citations per paper Punishes productivity

9 Number of papers with >x citations Combines publication data with citation data Thus rewards quality as well as quantity if a fair value of x is chosen, but different values of x need to be decided upon for different fields of research

10 h-index A scientist has the index h if h of his or her papers have at least h citations each - Hirsch JE (2005) PNAS 102(46): Nc Np h h

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17 h-index A scientist has the index h if h of his or her papers have at least h citations each - Hirsch JE (2005) PNAS 102(46): Nc Np h h

18 g-index A set of papers has a g-index g if g is the highest rank such that the top g papers have, together, at least g 2 citations - Egghe L (2006) Scientometrics 69(1):

19 This is only the beginning More indices will probably be coined Indices should be validated e.g. by testing their predicative power

20 Software link Publish or Perish is a piece of software that calculates several bibliometric indices from Google Scholar data. It is provided free of charge at


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