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A new family of cumulative indexes for measuring scientific performance.

ABSTRACT: In this paper we propose a new family of cumulative indexes for measuring scientific performance which can be applied to many metrics, including h index and its variants (here we apply it to the h index, h(2) index and Google Scholar's i10 index). These indexes follow the general principle of repeating the index calculation for the same publication set. Using bibliometric data and reviewer scores for accepted and rejected fellowship applicants we examine how valid the cumulative variant is compared to the original variant. These analyses showed that the cumulative indexes result in higher correlations with the reviewer scores than their original variants. Thus, the cumulative indexes better reflect the assessments by peers than the original variants and are useful extensions of the original indexes. In contrast to many other measures of scientific performance proposed up to now, the cumulative indexes seem not only to be effective, but they are also easy to understand and calculate.

SUBMITTER: Kozak M

PROVIDER: S-EPMC3485265 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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A new family of cumulative indexes for measuring scientific performance.

Kozak Marcin M Bornmann Lutz L

PloS one 20121031 10

In this paper we propose a new family of cumulative indexes for measuring scientific performance which can be applied to many metrics, including h index and its variants (here we apply it to the h index, h(2) index and Google Scholar's i10 index). These indexes follow the general principle of repeating the index calculation for the same publication set. Using bibliometric data and reviewer scores for accepted and rejected fellowship applicants we examine how valid the cumulative variant is compa ...[more]

PMID: 23118890

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Project description:BackgroundThe big problem in global public health, arising from the international migration of physicians from less-developed to more-developed countries, increases if this migration also affects scientists dedicated to health areas. This article analyzes critical variables in the processes of Spanish scientific mobility in Health Sciences to articulate effective management policies for the benefit of national public health services and the balance between local and global science.MethodsThis study develops a survey to measure and analyze the following crucial variables: research career, training, funding, working with a world-class team, institutional prestige, wages, facilities/infrastructure, working conditions in the organization of the destination country, fringe benefits in the organization of the destination country and social responsibility in the organization of the departure country. A total of 811 researchers have participated in the survey, of which 293 were from the health sector: Spanish scientists abroad (114), scientists that have returned to Spain (32) and young researchers in Spain (147).ResultsThe most crucial variables for Spanish scientists and young researchers in Spain in Health Sciences moving abroad are the cumulative advantages (research career, training, funding and institutional prestige) plus wages. On the other hand, the return of Spanish scientists in the Health Sciences is influenced by cumulative variables (working with a world-class team, research career and institutional prestige) and also by other variables related to social factors, such as working conditions and fringe benefits in the destination country. Permanent positions are rare for these groups and their decisions regarding mobility depend to a large extent on job opportunities.ConclusionsSpanish health organizations can influence researchers to return, since these decisions mainly depend on job opportunities. These organizations can complement the cumulative advantages offered by the wealthier countries with the intensification of social factors.

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A new family of cumulative indexes for measuring scientific performance.

Publications

A new family of cumulative indexes for measuring scientific performance.

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