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Measuring the utility of journals in the crime‐psychology field: Beyond the impact factor

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  • Glenn D. Walters

Abstract

A measure of formal journal utility designed to offset some of the more noteworthy limitations of the impact factor (IF)—i.e., short follow‐up, citations to items in the numerator that are not included in the denominator, self‐citations, and the greater citation rate of review articles—was constructed and applied to 15 crime‐psychology journals. This measure, referred to as Citations Per Article (CPA), was correlated with a measure of informal journal utility defined as the frequency with which 58 first authors in the field consulted these 15 crime‐psychology journals. Results indicated that the CPA, but not the IF, correlated significantly with informal utility. Two journals (Law and Human Behavior and Criminal Justice and Behavior) displayed consistently high impact across measures of formal and informal utility while several other journals (Journal of Interpersonal Violence; Psychology, Public Policy, and Law; Sexual Abuse: A Journal of Research and Treatment; and Behavioral Sciences and the Law) showed signs of moderate impact when formal and informal measures were combined.

Suggested Citation

  • Glenn D. Walters, 2006. "Measuring the utility of journals in the crime‐psychology field: Beyond the impact factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(13), pages 1804-1813, November.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:13:p:1804-1813
    DOI: 10.1002/asi.20382
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    Cited by:

    1. Sorensen, Jon R., 2009. "An assessment of the relative impact of criminal justice and criminology journals," Journal of Criminal Justice, Elsevier, vol. 37(5), pages 505-511, September.
    2. Jonathan C. Catling & Victoria L. Mason & Dominic Upton, 2009. "Quality is in the eye of the beholder? An evaluation of impact factors and perception of journal prestige in the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 333-345, November.
    3. József Popp & Péter Balogh & Judit Oláh & Sebastian Kot & Mónika Harangi Rákos & Péter Lengyel, 2018. "Social Network Analysis of Scientific Articles Published by Food Policy," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    4. Reingewertz, Yaniv & Lutmar, Carmela, 2018. "Academic in-group bias: An empirical examination of the link between author and journal affiliation," Journal of Informetrics, Elsevier, vol. 12(1), pages 74-86.

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