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Evaluation and analysis of term scoring methods for term extraction

Overview of attention for article published in Information Retrieval, August 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#44 of 167)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
7 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
68 Mendeley
Title
Evaluation and analysis of term scoring methods for term extraction
Published in
Information Retrieval, August 2016
DOI 10.1007/s10791-016-9286-2
Authors

Suzan Verberne, Maya Sappelli, Djoerd Hiemstra, Wessel Kraaij

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Switzerland 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Student > Master 10 15%
Researcher 6 9%
Student > Doctoral Student 6 9%
Lecturer 5 7%
Other 13 19%
Unknown 17 25%
Readers by discipline Count As %
Computer Science 35 51%
Arts and Humanities 2 3%
Unspecified 2 3%
Business, Management and Accounting 2 3%
Nursing and Health Professions 1 1%
Other 6 9%
Unknown 20 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 July 2017.
All research outputs
#4,829,665
of 17,947,665 outputs
Outputs from Information Retrieval
#44
of 167 outputs
Outputs of similar age
#77,225
of 272,993 outputs
Outputs of similar age from Information Retrieval
#1
of 1 outputs
Altmetric has tracked 17,947,665 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 167 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,993 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them