Topical search queries in SciFinder Scholar are processed through an extensive set of natural language processing algorithms that greatly enhance the relevance and comprehensiveness of the search results. Little detailed documentation on these algorithms has been published. However, a careful examination of the highlighted hit terms coupled with a comparison of results from small variations in query language reveal much additional, useful information about these algorithms. An understanding of how these algorithms work can lead to better search results and explain many unexpected results, including differing hit counts for singular versus plural query words and phrases.

A bibliography on the subject of citations in open access (OA) articles is presented, including the study "Open Access to Scientific Literature: Increasing Citations As An Incentive for Authors to Make Their Publications Freely Accessible," by S. Bernius and M. Hanauske, and the articles "Earlier Web Usage Statistics As Predictors of Later Citation Impact," by T. Brody, S. Harnad, and L. Carr, and "Evolution of Open Access Publishing in Chinese Scientific Journals."

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