↓ Skip to main content

A set theory based similarity measure for text clustering and classification

Overview of attention for article published in Journal of Big Data, September 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
63 Mendeley
Title
A set theory based similarity measure for text clustering and classification
Published in
Journal of Big Data, September 2020
DOI 10.1186/s40537-020-00344-3
Authors

Ali A. Amer, Hassan I. Abdalla

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 7 11%
Student > Bachelor 6 10%
Student > Doctoral Student 4 6%
Student > Master 4 6%
Student > Ph. D. Student 4 6%
Other 7 11%
Unknown 31 49%
Readers by discipline Count As %
Computer Science 22 35%
Mathematics 2 3%
Social Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 32 51%
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 27 April 2023.
All research outputs
#7,791,868
of 23,666,309 outputs
Outputs from Journal of Big Data
#134
of 357 outputs
Outputs of similar age
#164,485
of 404,379 outputs
Outputs of similar age from Journal of Big Data
#8
of 23 outputs
Altmetric has tracked 23,666,309 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 357 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. 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 404,379 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 55% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.