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Editorial
Identification of Potentially Relevant Citeable Articles using Association Rule Mining
Author(s): Selen Uguroglu, Oznur Tastan, Judith Klein-Seetharaman and Sanford H. LeubaSelen Uguroglu, Oznur Tastan, Judith Klein-Seetharaman and Sanford H. Leuba
Due to the increasingly larger and more interdisciplinary nature of scientific reporting, it is becoming more difficult to identify all the potentially relevant, citeable articles in reference lists of publications such as scientific papers, reports, grant proposals and patent applications. Authors may miss and/or give inaccurate citations, potentially hindering progress in a discipline and on a personal level, and change the importance and impact of an investigator’s work. Given the emphasis on quantitative means for assessing productivity, including the number of literature citations, efforts are needed to assist authors in the identification of potentially relevant articles to cite. Prior work has analyzed citation network structure and characteristic features and correlated these with other variables, such as country of origin, journal impact factor and open access status. A.. Read More»
DOI:
10.4172/2161-0444.1000e101
Medicinal Chemistry received 6627 citations as per Google Scholar report