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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
3 news outlets
twitter
1 X user

Readers on

mendeley
165 Mendeley
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Article details
Title
Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates
Published in
Cancer Letters, March 1994
DOI 10.1016/0304-3835(94)90099-x
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Mexico 1 <1%
Unknown 164 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 19 12%
Student > Master 18 11%
Student > Ph. D. Student 16 10%
Researcher 16 10%
Student > Doctoral Student 7 4%
Other 21 13%
Unknown 68 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 29 18%
Engineering 19 12%
Medicine and Dentistry 7 4%
Biochemistry, Genetics and Molecular Biology 6 4%
Business, Management and Accounting 3 2%
Other 19 12%
Unknown 82 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 09 February 2026.
All research outputs
#1,818,422
of 34,307,719 outputs
Outputs from Cancer Letters
#122
of 7,783 outputs
Outputs of similar age
#469
of 31,651 outputs
Outputs of similar age from Cancer Letters
#1
of 29 outputs
Altmetric has tracked 34,307,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,783 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 31,651 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.