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Overview of attention for article published in Machine Learning, January 1997
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 tweeter
patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2349 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
6 CiteULike
connotea
1 Connotea
Title
Published in
Machine Learning, January 1997
DOI 10.1023/a:1007465528199
Authors

Nir Friedman, Dan Geiger, Moises Goldszmidt

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Unspecified 8 22%
Student > Master 8 22%
Researcher 6 16%
Student > Doctoral Student 2 5%
Other 4 11%
Readers by discipline Count As %
Computer Science 16 43%
Unspecified 11 30%
Engineering 4 11%
Psychology 2 5%
Neuroscience 1 3%
Other 3 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2017.
All research outputs
#2,210,785
of 12,890,692 outputs
Outputs from Machine Learning
#52
of 420 outputs
Outputs of similar age
#50,584
of 275,908 outputs
Outputs of similar age from Machine Learning
#1
of 5 outputs
Altmetric has tracked 12,890,692 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% 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 275,908 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 81% of its contemporaries.
We're also able to compare this research output to 5 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