Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Continued Use Of Retracted Publications: Implications For Information Systems And Scientific Publishing, Peiling Wang, Luke Baker Mccullough, Jing Su
Continued Use Of Retracted Publications: Implications For Information Systems And Scientific Publishing, Peiling Wang, Luke Baker Mccullough, Jing Su
School of Information Sciences -- Faculty Publications and Other Works
Reports on the preliminary results of an empirical study of post-retraction citations of biomedical research literature. Retractions of biomedical publications have a serious impact on research enterprise and public health. Retractions to correct literature and alert readers are actions by the journals based on evidence of serious flaws or errors or upon the request of the authors. The process of retraction could take a few weeks or years after publication. The purpose of this study is to investigate how retracted peer-reviewed journal articles were cited post-retraction. Post-retraction citing articles are those published two years after the retraction year. The dataset …
Expert Recommended Biomedical Journal Articles: Their Retractions Or Corrections, And Post-Retraction Citing, Peiling Wang, Jing Su
Expert Recommended Biomedical Journal Articles: Their Retractions Or Corrections, And Post-Retraction Citing, Peiling Wang, Jing Su
School of Information Sciences -- Faculty Publications and Other Works
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 …