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Genetic Algorithms and Machine Learning

Overview of attention for article published in Machine Learning, October 1988
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
2498 Dimensions

Readers on

mendeley
2139 Mendeley
citeulike
2 CiteULike
Title
Genetic Algorithms and Machine Learning
Published in
Machine Learning, October 1988
DOI 10.1023/a:1022602019183
Authors

David E. Goldberg, John H. Holland

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 <1%
Germany 5 <1%
Brazil 5 <1%
India 4 <1%
United Kingdom 3 <1%
France 3 <1%
Iran, Islamic Republic of 3 <1%
Italy 2 <1%
Portugal 2 <1%
Other 21 <1%
Unknown 2070 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 454 21%
Student > Master 415 19%
Student > Bachelor 216 10%
Researcher 143 7%
Student > Doctoral Student 99 5%
Other 318 15%
Unknown 494 23%
Readers by discipline Count As %
Computer Science 566 26%
Engineering 548 26%
Agricultural and Biological Sciences 50 2%
Business, Management and Accounting 43 2%
Physics and Astronomy 36 2%
Other 302 14%
Unknown 594 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 October 2022.
All research outputs
#6,753,656
of 25,371,288 outputs
Outputs from Machine Learning
#236
of 1,225 outputs
Outputs of similar age
#3,439
of 12,772 outputs
Outputs of similar age from Machine Learning
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 80% 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 12,772 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 72% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.