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Evolution of Evolvability in Gene Regulatory Networks

Overview of attention for article published in PLoS Computational Biology, July 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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page
f1000
1 research highlight platform

Citations

dimensions_citation
201 Dimensions

Readers on

mendeley
446 Mendeley
citeulike
29 CiteULike
connotea
4 Connotea
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Title
Evolution of Evolvability in Gene Regulatory Networks
Published in
PLoS Computational Biology, July 2008
DOI 10.1371/journal.pcbi.1000112
Pubmed ID
Authors

Anton Crombach, Paulien Hogeweg

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 446 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 5%
United Kingdom 10 2%
Germany 3 <1%
Mexico 3 <1%
Poland 2 <1%
Italy 2 <1%
Australia 2 <1%
Brazil 2 <1%
Norway 2 <1%
Other 10 2%
Unknown 389 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 133 30%
Researcher 106 24%
Student > Master 40 9%
Student > Bachelor 32 7%
Professor 28 6%
Other 81 18%
Unknown 26 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 216 48%
Computer Science 65 15%
Biochemistry, Genetics and Molecular Biology 48 11%
Physics and Astronomy 18 4%
Mathematics 11 2%
Other 49 11%
Unknown 39 9%
Attention Score in Context

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 11 May 2018.
All research outputs
#5,359,857
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#4,030
of 9,043 outputs
Outputs of similar age
#18,457
of 96,653 outputs
Outputs of similar age from PLoS Computational Biology
#17
of 40 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 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 55% 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 96,653 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 80% of its contemporaries.
We're also able to compare this research output to 40 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 57% of its contemporaries.