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The editorial policies of scientific journals: Testing an impact factor model

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Abstract

There is an evident need for the most scrupulous assessment possibleof the fruits of research (in the context considered here; namely, publications)with a qualitative, hence in-depth analysis of the single products of . Butthis would require time and competences which not all policy makers have attheir disposal. Hopefully, quantitative procedures, apparently objective andeasy to apply, would be able to surmount these difficulties. The diffusionof the quantitative evaluation of research is, that is, the policy makers'adaptive response to the need to increase controls of the efficiency of publicspending in since public investment clearly could not be determined at theoutset on the basis of the market's spontaneous, decentralised balancingmechanisms. An essential step towards the prevention of the distortions mostlikely to result from quantitative evaluation is the adoption of quantitativeprocedures of evaluation of the editorial policies of scientific journals– or, rather, of journals which claim to be scientific. Such proceduresmust be designed to highlight any distortions caused by the non-optimal editorialpolicies of journals. With quantitative evaluation, in fact, journals playa crucial role in the formation of public science policies. They thus haveto be subjected to specific monitoring to make sure that their conduct fitsin with the prerequisites necessary for them to perform their semi-officialactivity as certifiers of the quality of the products of research. The phenomenaof the production, divulgation and fruition of scientific discovery are, ofcourse, so complex that it is necessary to weigh them not with a single indicator,however helpful it may be, but with a constellation of indicators. We receivedconfirmation of the reliability of the impact factor as an instrument to monitorthe quality of research and as a means of evaluating the research itself.This is a reassuring result for the current formulation of public policiesand confirms the substantial honesty of the competition mechanisms of thescientific enterprise.

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References

  1. Abt H., Do important papers produce high citation count?, Scientometrics, 48 (2000) 65-70.

    Article  Google Scholar 

  2. Albert M., Direct validation of citation counts as indicators of industrially important patents, Research Policy, 20 (1991) 251-259.

    Article  MathSciNet  Google Scholar 

  3. Balaban A., How shoud citations to articles in high-and low-impact journals be evaluated, or what is a citation worth?, Scientometrics, 37 (1996) 495-498.

    Article  Google Scholar 

  4. Garfield E., Welljams-Dorof A., Citation data: their use as quantitative indicators for science and technology evaluation and policy-making, Science and Public Policy, 19 (1992) 321-327.

    Google Scholar 

  5. GlÄnzel W., The needs for standards in bibliometric research and technology, Scientometrics, 35 (1996) 167-176.

    Article  Google Scholar 

  6. Moed H., van Leeuwen T. N., Reedijk, J., A critical analysis of the journal impact factors of Angewandte Chemie and The Journal of the American Chemical Society. Inaccuracies in published impact factors based on overall citations only, Scientometrics, 37 (1996) 105-116.

    Article  Google Scholar 

  7. Moed H., Burger, W. J. M., Frankfort, J. G., van Raan, A. F. J., The use of bibliometric data for the measurement of university research performance, Research Policy, 14 (1985) 131-149.

    Article  Google Scholar 

  8. Narin F., Technology indicators in strategic planning, Science and Public Policy, 19 (1992) 369-382.

    Google Scholar 

  9. Pavitt K., The inevitable limits of EU R&D funding, Research Policy, 27 (1998) 559-568.

    Article  Google Scholar 

  10. Ramirez A., Garcia E., Del Rio A., Renormalized impact factor, Scientometrics, 47 (2000) 3-9.

    Article  Google Scholar 

  11. Vinkler P., Model for quantitative selection of relative scientometric impact indicators, Scientometrics, 36 (1996) 223-236.

    Article  Google Scholar 

Download references

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de Marchi, M., Rocchi, M. The editorial policies of scientific journals: Testing an impact factor model. Scientometrics 51, 395–404 (2001). https://doi.org/10.1023/A:1012705818635

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  • DOI: https://doi.org/10.1023/A:1012705818635

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