Journal peer review as an information retrieval process

Journal of Documentation

Volumn 68, Issue 4, 2012, Pages 527-535

  Bornmann, Lutz ^a   Egghe, Leo ^b,c  

^a MAX PLANCK INSTITUTE   (Germany)

^b HASSELT UNIVERSITY   (Belgium)

^c UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Information retrieval; Information science; Peer review; Periodicals

Indexed keywords

EID: 84863805589     PISSN: 00220418     EISSN: None     Source Type: Journal    
DOI: 10.1108/00220411211239093     Document Type: Review

References (16)

1. Bornmann, L. (2011), "Scientific peer review" in Annual Review of Information Science and Technology, Vol. 45, pp. 199-245.
2. Bornmann, L. and Daniel, H.-D. (2009a), "Extent of type I and type II errors in editorial decisions: a case study on Angewandte Chemie - International Edition" in Journal of Informetrics, Vol. 3, No. 4, pp. 348-52.
3. Bornmann, L. and Daniel, H.-D. (2009b), "The luck of the referee draw: the effect of exchanging reviews" in Learned Publishing, Vol. 22, No. 2, pp. 117-25.
4. Bornmann, L. and Daniel, H.-D. (2010a), "The manuscript reviewing process - empirical research on review requests, review sequences and decision rules in peer review" in Library & Information Science Research, Vol. 32, No. 1, pp. 5-12.
5. Bornmann, L. and Daniel, H.-D. (2010b), "The usefulness of peer review for selecting manuscripts for publication: a utility analysis taking as an example a high-impact journal", PLoS ONE, Vol. 5, No. 4, e11344.
6. Egghe, L. (2007), "Existence theorem of the quadruple (P, R, F, M): precision, recall, fallout and miss" in Information Processing and Management, Vol. 43, No. 1, pp. 265-72.
7. Egghe, L. (2008), "The measures precision, recall, fallout and miss in function of the number of retrieved documents and their mutual interrelations" in Information Processing and Management, Vol. 44, No. 2, pp. 856-76.
8. Egghe, L. (2010), "Study of some editor-in-chief decision schemes" in Annals of Library and Information Studies, Vol. 57, No. 3, pp. 184-95.
9. Guns, R. (2009), "Generalizing link prediction: collaboration at the University of Antwerp as a case study" Grove, A. (Ed.), ASIST 2009: Proceedings of the 72nd ASIS&T Annual Meeting, Vancouver, BC, Canada, November 6-11, 2009, ASIS&T, Silver Spring, MD.
10. Kashima, H. and Abe, N. (2006), "A parameterized probabilistic model of network evolution for supervised link prediction" in pp. 340-9, Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM 2006).
11. Patterson, M. (2009), "Article-level metrics at PLoS - addition of usage data", available at: http://blogs.plos.org/plos/2009/09/article-level-metrics-at-plos-addition-of-usage-data/ (accessed 13 December 2011).
12. Popescul, A. and Ungar, L.H. (2003), "Structural logistic regression for link analysis" in Džeroski, S., De Raedt, L. and Wrobel, S. (Eds.), pp. 92-106, Proceedings of the 2nd Workshop on Multi-Relational Data Mining (MRDM-2003).
13. Salton, G. and McGill, M.J. (1987), Introduction to Modern Information Retrieval, McGraw-Hill, Auckland.
14. Schultz, D.M. (2010), "Are three heads better than two? How the number of reviewers and editor behavior affect the rejection rate" in Scientometrics, Vol. 84, No. 2, pp. 277-92.
15. Weller, A.C. (2001), Editorial Peer Review. Its Strengths and Weaknesses, Information Today, Medford, NJ, ASIST Monograph Series.
16. van Raan, A.F.J. (2004), "Measuring science. Capita selecta of current main issues" in Moed, H.F., Glänzel, W. and Schmoch, U. (Eds.), Handbook of Quantitative Science and Technology Research. The Use of Publication and Patent Statistics in Studies of S&T Systems, Kluwer Academic Publishers, Dordrecht, pp. 19-50.