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internationalisation in science in the prism of bibliometric indicators

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secondary communication. The figures <strong>of</strong> average deviations 20% (variance as<br />

low<br />

very low<br />

well as maximum deviation measures) 0% confirm very a low steady trend towards<br />

0%<br />

<strong><strong>in</strong>ternationalisation</strong> (ibid.).<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

Fundamental B iology<br />

very high<br />

high<br />

medium<br />

low<br />

very low<br />

82 84 86 88 90 92 94 96<br />

Years<br />

Applied B iology-Ecology<br />

Chemistry Physics<br />

Earth&Space<br />

100%<br />

100%<br />

very high<br />

100%<br />

very high<br />

100%<br />

very high<br />

very high<br />

80% <strong><strong>in</strong>ternationalisation</strong> high<br />

80% (two discipl<strong>in</strong>es)<br />

80%<br />

high<br />

80%<br />

high<br />

60%<br />

60%<br />

high<br />

This figure illustrates medium <strong>the</strong> trend 60% towards <strong><strong>in</strong>ternationalisation</strong>,<br />

medium<br />

60% with<br />

40%<br />

low<br />

40%<br />

40%<br />

medium low<br />

40%<br />

medium<br />

20%<br />

20%<br />

3. Consequences on very low<strong>in</strong>terpretation<br />

20% <strong>of</strong> <strong>bibliometric</strong> very low<br />

low<br />

<strong>in</strong>dicators,<br />

20%<br />

low<br />

static and 0% dynamic (<strong>the</strong> rent <strong>of</strong> 0% transition) very low<br />

very low<br />

82 84 86 88 90 92 94 96 0% 82 84 86 88 90 92 94 96 0%<br />

Years<br />

82 84 86 Years 88 90 92 94 96 82 84 86 88 90 92<br />

Indicators are based on databases, and each Years database has its Years own<br />

94 96<br />

Physics<br />

Earth&Space<br />

very high<br />

100%<br />

100%<br />

Eng<strong>in</strong>eer<strong>in</strong>g<br />

Ma<strong>the</strong>matics<br />

very high<br />

very high<br />

based on a careful 80% selection <strong>of</strong> journals, 80% 100% but is not bias-free. 100%<br />

The<br />

very high high<br />

<strong>in</strong>terpretation <strong>of</strong> national high <strong>bibliometric</strong> <strong>in</strong>dicators, among o<strong>the</strong>r<br />

60%<br />

60% 80%<br />

80%<br />

very high<br />

80%<br />

60%<br />

40%<br />

20%<br />

high<br />

Discard<strong>in</strong>g <strong>the</strong> 60% national-oriented 60% class, source <strong>of</strong> noise, allows to<br />

high<br />

40%<br />

medium<br />

40%<br />

20%<br />

low<br />

20%<br />

medium<br />

very low<br />

low<br />

0%<br />

82 84 86 88 90<br />

Years<br />

92 94 96<br />

0%<br />

82 84 86<br />

very low<br />

88 90<br />

Years<br />

92 94 96<br />

high<br />

medium<br />

82 84 86 88 90 92 94 96<br />

Years<br />

80%<br />

60%<br />

40%<br />

very high<br />

high<br />

medium<br />

low<br />

82 84 86 88 90 92 94 96<br />

Years<br />

Applied Biology-Ecology<br />

Chemistry<br />

100%<br />

100%<br />

B iomedical Research<br />

very high<br />

100%<br />

very high<br />

80%<br />

80%<br />

very high<br />

high<br />

high<br />

80%<br />

high<br />

60%<br />

60%<br />

medium<br />

medium<br />

60%<br />

medium<br />

40%<br />

40%<br />

low low<br />

40%<br />

low<br />

20% 20%<br />

very very low low<br />

20%<br />

very low<br />

0% 0%<br />

0%<br />

82 82 84 84 86 86 88 88 90 90 92 92 94 94 96 96 82 84 86 88 90 92 94 96<br />

Years Years<br />

Years<br />

Fig.2. Distribution <strong>of</strong> publications among journals by level <strong>of</strong> journal<br />

top-classes ga<strong>in</strong><strong>in</strong>g importance. Source: ibid.<br />

statistical characteristics. It is generally considered that SCI (or<br />

now ISI "Web <strong>of</strong> Science") gives a good image <strong>of</strong> <strong>in</strong>ternational <strong>science</strong>,<br />

problems, should care for two related issues:<br />

40%<br />

medium<br />

40% 60%<br />

medium high<br />

60%<br />

- <strong>the</strong> mix <strong>of</strong> two journal populations, with, for national-oriented high<br />

20%<br />

low<br />

20% 40%<br />

low medium<br />

40%<br />

journals population, an uneven distribution among countries, has heavy<br />

very low<br />

very low<br />

0%<br />

0%<br />

low<br />

medium<br />

consequences on <strong>in</strong>ternational benchmark<strong>in</strong>g 20% <strong>of</strong> outputs, 20% <strong>in</strong>clud<strong>in</strong>g <strong>in</strong><br />

82 84 86 88 90 92 94 96 82 84 86 88 90 92 94 96<br />

static assessment. There is a serious risk very low<strong>of</strong><br />

overestimation low<strong>of</strong><br />

Years<br />

Years<br />

0%<br />

0%<br />

very low<br />

publication share and underestimation <strong>of</strong> impact for couples country-<br />

82 84 86 88 90 92 94 96 82 84 86 88 90 92<br />

discipl<strong>in</strong>e still marked Eng<strong>in</strong>eer<strong>in</strong>g by a national model Ma<strong>the</strong>matics reflected Years <strong>in</strong> SCI tail (Zitt Years<br />

et al. 2003). 100% A similar effect for 100% <strong>the</strong> presence <strong>of</strong> journals not us<strong>in</strong>g<br />

English language is analysed very high <strong>in</strong> Van Leeuwen et al. (2001).<br />

80%<br />

80%<br />

very high<br />

94 96<br />

uncover nice regularities <strong>of</strong> classic <strong>in</strong>dicators as a function <strong>of</strong> <strong>the</strong><br />

database perimeter (ibid.), and to give ano<strong>the</strong>r approach <strong>of</strong><br />

<strong>in</strong>ternational benchmark<strong>in</strong>g. However attention should be paid to applied<br />

field-researches with possible national or regional specific targets<br />

(medic<strong>in</strong>e, agriculture, etc.), with models that are hardly received by

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