30 research outputs found
The Closer the Better: Similarity of Publication Pairs at Different Co-Citation Levels
We investigate the similarities of pairs of articles which are co-cited at
the different co-citation levels of the journal, article, section, paragraph,
sentence and bracket. Our results indicate that textual similarity,
intellectual overlap (shared references), author overlap (shared authors),
proximity in publication time all rise monotonically as the co-citation level
gets lower (from journal to bracket). While the main gain in similarity happens
when moving from journal to article co-citation, all level changes entail an
increase in similarity, especially section to paragraph and paragraph to
sentence/bracket levels. We compare results from four journals over the years
2010-2015: Cell, the European Journal of Operational Research, Physics Letters
B and Research Policy, with consistent general outcomes and some interesting
differences. Our findings motivate the use of granular co-citation information
as defined by meaningful units of text, with implications for, among others,
the elaboration of maps of science and the retrieval of scholarly literature
Text Summarization Techniques: A Brief Survey
In recent years, there has been a explosion in the amount of text data from a
variety of sources. This volume of text is an invaluable source of information
and knowledge which needs to be effectively summarized to be useful. In this
review, the main approaches to automatic text summarization are described. We
review the different processes for summarization and describe the effectiveness
and shortcomings of the different methods.Comment: Some of references format have update
Do peers see more in a paper than its authors?
Recent years have shown a gradual shift in the content of biomedical publications that is freely accessible, from titles and abstracts to full text. This has enabled new forms of automatic text analysis and has given rise to some interesting questions: How informative is the abstract compared to the full-text? What important information in the full-text is not present in the abstract? What should a good summary contain that is not already in the abstract? Do authors and peers see an article differently? We answer these questions by comparing the information content of the abstract to that in citances-sentences containing citations to that article. We contrast the important points of an article as judged by its authors versus as seen by peers. Focusing on the area of molecular interactions, we perform manual and automatic analysis, and we find that the set of all citances to a target article not only covers most information (entities, functions, experimental methods, and other biological concepts) found in its abstract, but also contains 20% more concepts. We further present a detailed summary of the differences across information types, and we examine the effects other citations and time have on the content of citances
Visual overviews for discovering key papers and influences across research fronts
Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts , is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network-visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two-dimensional layouts with multiple regions and user control of link visibility, we conducted a design-oriented, preliminary case study with 6 domain experts over a 4-month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64320/1/21160_ftp.pd