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From Pathways Databases to Network Models of Switching Behavior

Overview of attention for article published in PLoS Computational Biology, September 2007
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
98 Mendeley
citeulike
13 CiteULike
connotea
4 Connotea
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Title
From Pathways Databases to Network Models of Switching Behavior
Published in
PLoS Computational Biology, September 2007
DOI 10.1371/journal.pcbi.0030152
Pubmed ID
Authors

Baltazar D Aguda, Andrew B Goryachev

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 9%
France 3 3%
Brazil 3 3%
United Kingdom 2 2%
Germany 2 2%
Netherlands 1 1%
Turkey 1 1%
Spain 1 1%
Italy 1 1%
Other 0 0%
Unknown 75 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 37%
Student > Ph. D. Student 14 14%
Other 10 10%
Professor > Associate Professor 9 9%
Student > Bachelor 6 6%
Other 20 20%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 53%
Computer Science 12 12%
Biochemistry, Genetics and Molecular Biology 11 11%
Engineering 4 4%
Medicine and Dentistry 3 3%
Other 10 10%
Unknown 6 6%
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 07 December 2014.
All research outputs
#4,195,528
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#3,433
of 8,964 outputs
Outputs of similar age
#12,509
of 84,160 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 32 outputs
Altmetric has tracked 25,394,764 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 8,964 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 61% 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 84,160 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 85% of its contemporaries.
We're also able to compare this research output to 32 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 68% of its contemporaries.