Content Analysis of References: Adjunct or Alternative to Citation Counting?

TL;DR: In this paper, citation analysis may find a higher proportion of negative references than usual, and the pattern of references to a given paper is analyzed, which may perform the function of referring to a school of thought symbolized by that paper.

TL;DR: The Government Performance and Results Act (GPRA) as discussed by the authors requires all U.S. federal agencies to set measurable goals and report on whether they are meeting them, and these requirements force a tradeoff for research agencies.

TL;DR: A study of researchers' preferences in selecting information from cited papers to include in a literature review, and the kinds of transformations and editing applied to the selected information.

TL;DR: New methods that use natural language processing (NLP) driven models for summarizing research in scientific fields as well as summarization algorithms that use lexical and discourse information present in the text of these articles to generate coherent and readable extractive summaries of past research on the topic.

TL;DR: In this article, a distinction is made among scientific activity, scientific productivity, and scientific progress, and it is suggested that the above measures might depend on the particular field of science, on the speed whereby research front information becomes archival, the phenomena of wrong papers and of ‘also ran’ papers, on geographical differences in communication patterns, on whether we want to measure activity, productivity, or progress.

TL;DR: The connection between the organization of the informal communication system and the reward system may be seen by looking at data which shows which type of groups are, on the average, 'over' recognised for their scientific productivity and which are 'under' recognised as discussed by the authors.