Abstract
Background
The scientific activity of an institution or an individual researcher is being measured through various indicators; of which is their amount or publication and citation. Inappropriate presentation or reporting of the authors' affiliation may deprive their institution of getting the research credit for the published work. The study primary objective was to detect the possible patterns of authors' affiliation misreporting by evaluation Qena Faculty of medicine (QFM) (as a representative of Egyptian academic institutions) PubMed indexed publications over one year period. The Secondary objectives were to, 1: document the QFM contribution to the South Valley University (SVU) publications and 2: to check the incidence of contribution from QFM different departments through the same period.
Results
A PubMed search limited to one year searching for publications from SVU, QFM and QUH. The resulted articles were examined to evaluate the contribution of different faculties to the overall SVU publications. QFM and QUH were further evaluated for, contribution of the departments, and the presence of authors affiliation misreporting, the later was divided into three main patterns, Ⅰ: Missing affiliation information, Ⅱ: Mistakes in affiliation reporting, and Ⅲ: Inconsistent affiliation reporting. A total of 261 articles were examined. Faculty of Veterinary Medicine was the most contributing by 95 (35.2 %) articles followed by QFM by 77 (28.4 %). For the 77 articles published from QFM and QUH, the cooperation between QFM departments was as follows: authors from only one department (59, 76.6%), two (9, 11.7%), three (4, 5.2%), and four (5, 6.5%), this makes a total contribution of all departments as 105 articles, of which 83.8% and 16.2% from clinical and academic departments respectively. The most commonly occurring authors affiliation misreporting was pattern Ⅱ in 47 (44.8 %) articles, followed by pattern Ⅲ in 31 (29.5%) pattern and pattern Ⅰ in 16 (15.2%).
Conclusions
Certain patterns of authors' affiliation misreporting were detected; identifying such patterns will help avoid them in future and to guard against depriving a certain institution of its research credit. Further evaluation of other faculties or universities on a wider scale is highly encouraged.