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Improved sqrt-cosine similarity measurement

Overview of attention for article published in Journal of Big Data, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 188)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
1 tweeter
q&a
3 Q&A threads

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Improved sqrt-cosine similarity measurement
Published in
Journal of Big Data, July 2017
DOI 10.1186/s40537-017-0083-6
Authors

Sahar Sohangir, Dingding Wang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Student > Ph. D. Student 7 18%
Student > Bachelor 4 11%
Lecturer 3 8%
Researcher 3 8%
Other 5 13%
Unknown 8 21%
Readers by discipline Count As %
Computer Science 15 39%
Engineering 7 18%
Social Sciences 3 8%
Business, Management and Accounting 2 5%
Earth and Planetary Sciences 1 3%
Other 2 5%
Unknown 8 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 07 April 2019.
All research outputs
#2,244,778
of 14,590,652 outputs
Outputs from Journal of Big Data
#33
of 188 outputs
Outputs of similar age
#56,668
of 270,216 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 14,590,652 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. 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 270,216 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% 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