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Overview of attention for article published in Machine Learning, January 1988
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
121 Mendeley
citeulike
1 CiteULike
Title
Published in
Machine Learning, January 1988
DOI 10.1023/a:1022873112823
Authors

Dana Angluin, Philip Laird

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 7%
India 1 <1%
Italy 1 <1%
Brazil 1 <1%
China 1 <1%
Czechia 1 <1%
Slovakia 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 5 4%
Unknown 99 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 36%
Researcher 20 17%
Student > Master 19 16%
Student > Doctoral Student 13 11%
Professor 6 5%
Other 20 17%
Readers by discipline Count As %
Computer Science 81 67%
Engineering 12 10%
Mathematics 9 7%
Unspecified 8 7%
Medicine and Dentistry 3 2%
Other 8 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 March 2015.
All research outputs
#9,447,049
of 12,325,396 outputs
Outputs from Machine Learning
#352
of 385 outputs
Outputs of similar age
#160,051
of 248,590 outputs
Outputs of similar age from Machine Learning
#7
of 7 outputs
Altmetric has tracked 12,325,396 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 385 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 248,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
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.