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SISR: System for integrating semantic relatedness and similarity measures

Overview of attention for article published in Soft Computing, November 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
31 Mendeley
Title
SISR: System for integrating semantic relatedness and similarity measures
Published in
Soft Computing, November 2016
DOI 10.1007/s00500-016-2438-x
Authors

Mohamed Ben Aouicha, Mohamed Ali Hadj Taieb, Abdelmajid Ben Hamadou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Doctoral Student 4 13%
Researcher 3 10%
Professor > Associate Professor 3 10%
Student > Ph. D. Student 3 10%
Other 6 19%
Unknown 8 26%
Readers by discipline Count As %
Computer Science 18 58%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Linguistics 1 3%
Unknown 10 32%
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 05 December 2016.
All research outputs
#7,862,539
of 23,839,820 outputs
Outputs from Soft Computing
#93
of 465 outputs
Outputs of similar age
#139,701
of 419,730 outputs
Outputs of similar age from Soft Computing
#4
of 10 outputs
Altmetric has tracked 23,839,820 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 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 59% 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 419,730 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 53% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.