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Accurate Structural Correlations from Maximum Likelihood Superpositions

Overview of attention for article published in PLoS Computational Biology, February 2008
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Readers on

mendeley
108 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Article details
Title
Accurate Structural Correlations from Maximum Likelihood Superpositions
Published in
PLoS Computational Biology, February 2008
DOI 10.1371/journal.pcbi.0040043
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 3%
United Kingdom 2 2%
France 2 2%
Spain 2 2%
Denmark 2 2%
Turkey 1 <1%
Serbia 1 <1%
Portugal 1 <1%
Poland 1 <1%
Other 3 3%
Unknown 90 83%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 34 31%
Researcher 34 31%
Student > Bachelor 7 6%
Professor 7 6%
Professor > Associate Professor 5 5%
Other 12 11%
Unknown 9 8%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 46 43%
Biochemistry, Genetics and Molecular Biology 18 17%
Chemistry 15 14%
Computer Science 5 5%
Physics and Astronomy 4 4%
Other 9 8%
Unknown 11 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 December 2021.
All research outputs
#4,805,339
of 28,731,329 outputs
Outputs from PLoS Computational Biology
#3,495
of 9,562 outputs
Outputs of similar age
#23,902
of 193,300 outputs
Outputs of similar age from PLoS Computational Biology
#15
of 39 outputs
Altmetric has tracked 28,731,329 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 63% 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 193,300 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 87% of its contemporaries.
We're also able to compare this research output to 39 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 58% of its contemporaries.