What makes a good recommendation? Characterization of scientific paper recommendations
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 9848, Page: 115-130
2016
- 6Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures6
- Readers6
Book Chapter Description
In this paper we propose several new measures to characterize sets of scientific papers that provide an overview of a scientific topic. We present a study in which experts were asked to name such papers for one of their areas of expertise and apply the measures to characterize the paper selections. The results are compared to the measured values for random paper selections. We find that the expert selected sets of papers can be characterized to have a moderately high diversity, moderately high coverage and each paper in the set has on average a high prototypicality.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85007553295&origin=inward; http://dx.doi.org/10.1007/978-3-319-44799-5_9; http://link.springer.com/10.1007/978-3-319-44799-5_9; http://link.springer.com/content/pdf/10.1007/978-3-319-44799-5_9; https://dx.doi.org/10.1007/978-3-319-44799-5_9; https://link.springer.com/chapter/10.1007/978-3-319-44799-5_9
Springer Science and Business Media LLC
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