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Robust semantic text similarity using LSA, machine learning, and linguistic resources

Overview of attention for article published in Language Resources and Evaluation, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
85 Mendeley
Title
Robust semantic text similarity using LSA, machine learning, and linguistic resources
Published in
Language Resources and Evaluation, October 2015
DOI 10.1007/s10579-015-9319-2
Authors

Abhay Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya Satyapanich, Sunil Gandhi, Tim Finin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Belarus 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 26%
Student > Ph. D. Student 19 22%
Student > Bachelor 9 11%
Researcher 8 9%
Student > Doctoral Student 6 7%
Other 13 15%
Unknown 8 9%
Readers by discipline Count As %
Computer Science 45 53%
Linguistics 5 6%
Engineering 5 6%
Business, Management and Accounting 3 4%
Economics, Econometrics and Finance 3 4%
Other 11 13%
Unknown 13 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 September 2017.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#92
of 331 outputs
Outputs of similar age
#98,552
of 288,139 outputs
Outputs of similar age from Language Resources and Evaluation
#2
of 7 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 54% 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 288,139 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 56% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.