Aggregating post-publication peer reviews and ratings

  • Florian R
N/ACitations
Citations of this article
29Readers
Mendeley users who have this article in their library.

Abstract

Allocating funding for research often entails the review of the publications authored by a scientist or a group of scientists. For practical reasons, in many cases this review cannot be performed by a sufficient number of specialists in the core domain of the reviewed publications. In the meanwhile, each scientist reads thoroughly, on average, about 88 scientific articles per year, and the evaluative information that scientists can provide about these articles is currently lost. I suggest that aggregating in an online database reviews or ratings on the publications that scientists read anyhow can provide important information that can revolutionize the evaluation processes that support funding decisions. I also suggest that such aggregation of reviews can be encouraged by a system that would provide a publicly available review portfolio for each scientist, without prejudicing the anonymity of reviews. I provide some quantitative estimates on the number and distribution of reviews and ratings that can be obtained.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Florian, R. V. (2012). Aggregating post-publication peer reviews and ratings. Frontiers in Computational Neuroscience, 6. https://doi.org/10.3389/fncom.2012.00031

Readers over time

‘12‘13‘14‘15‘17‘18‘19‘20‘21‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 13

54%

Researcher 10

42%

Professor / Associate Prof. 1

4%

Readers' Discipline

Tooltip

Computer Science 6

32%

Psychology 5

26%

Social Sciences 4

21%

Agricultural and Biological Sciences 4

21%

Save time finding and organizing research with Mendeley

Sign up for free
0