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SISR: System for integrating semantic relatedness and similarity measures

Overview of attention for article published in Soft Computing - A Fusion of Foundations, Methodologies & Applications, November 2016
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About this Attention Score

  • One of the highest-scoring outputs from this source (#10 of 106)
  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
11 Mendeley
Title
SISR: System for integrating semantic relatedness and similarity measures
Published in
Soft Computing - A Fusion of Foundations, Methodologies & Applications, November 2016
DOI 10.1007/s00500-016-2438-x
Authors

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

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Researcher 2 18%
Unspecified 2 18%
Professor 1 9%
Student > Postgraduate 1 9%
Other 3 27%
Readers by discipline Count As %
Computer Science 7 64%
Unspecified 3 27%
Linguistics 1 9%

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 06 December 2016.
All research outputs
#2,289,136
of 8,734,076 outputs
Outputs from Soft Computing - A Fusion of Foundations, Methodologies & Applications
#10
of 106 outputs
Outputs of similar age
#100,809
of 299,052 outputs
Outputs of similar age from Soft Computing - A Fusion of Foundations, Methodologies & Applications
#2
of 7 outputs
Altmetric has tracked 8,734,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done well, scoring higher than 82% 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 299,052 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 64% 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.