School of Information Sciences -- Faculty Publications and Other Works

Source Publication (e.g., journal title)

Journal of Information Science

Author ORCID Identifier

peiling Wang

jing su

Document Type




Faculty Opinions has provided recommendations of important biomedical publications by domain experts (FMs) since 2001. The purpose of this study is two-fold: 1) identify the characteristics of the expert-recommended articles that were subsequently retracted; 2) investigate what happened after retraction. We examined a set of 232 recommended, later retracted or corrected articles. These articles were classified as New Finding (43%), Interesting Hypothesis (16%), etc. More than 71% of the articles acknowledged funding support; the NIH (US) was a top funder (64%). The top reasons for retractions were Errors of various types (28%); Falsification/fabrication of data, image, or results (20%); Unreliable data, image, or results (16%); and Results not reproducible (16%). Retractions took from less than two months to almost 14 years. Only 15 % of recommendations were withdrawn either after dissents were made by other FMs or after retractions. Most of the retracted articles continue to be cited post-retraction, especially those published in Nature, Science, and Cell. Significant positive correlations were observed between post-retraction citations and pre-retraction citations, between post-retraction citations and peak citations, and between post-retraction citations and the post-retraction citing span. A significant negative correlation was also observed between the post-retraction citing span and years taken to reach peak citations. Literature recommendation systems need to update the changing status of the recommended articles in a timely manner; invite the recommending experts to update their recommendations; and provide a personalized mechanism to alert users who have accessed the recommended articles on their subsequent retractions, concerns, or corrections.


Accepted on January 2, 2022.

Submission Type


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