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Positive Selection, Relaxation, and Acceleration in the Evolution of the Human and Chimp Genome

Overview of attention for article published in PLoS Computational Biology, April 2006
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
video
2 YouTube creators

Citations

dimensions_citation
129 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
9 CiteULike
connotea
2 Connotea
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Title
Positive Selection, Relaxation, and Acceleration in the Evolution of the Human and Chimp Genome
Published in
PLoS Computational Biology, April 2006
DOI 10.1371/journal.pcbi.0020038
Pubmed ID
Authors

Leonardo Arbiza, Joaquín Dopazo, Hernán Dopazo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 6 4%
Germany 4 3%
Brazil 3 2%
Netherlands 2 1%
United States 2 1%
Argentina 2 1%
Sweden 1 <1%
Tunisia 1 <1%
Switzerland 1 <1%
Other 2 1%
Unknown 124 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 27%
Student > Ph. D. Student 30 20%
Professor > Associate Professor 17 11%
Student > Master 15 10%
Professor 12 8%
Other 30 20%
Unknown 4 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 63%
Biochemistry, Genetics and Molecular Biology 26 18%
Social Sciences 3 2%
Computer Science 2 1%
Earth and Planetary Sciences 2 1%
Other 12 8%
Unknown 10 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 September 2023.
All research outputs
#3,618,797
of 25,401,381 outputs
Outputs from PLoS Computational Biology
#3,157
of 8,973 outputs
Outputs of similar age
#8,481
of 84,624 outputs
Outputs of similar age from PLoS Computational Biology
#5
of 17 outputs
Altmetric has tracked 25,401,381 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 64% 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 84,624 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 89% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.