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Logic modeling and the ridiculome under the rug

Overview of attention for article published in BMC Biology, November 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
2 blogs
twitter
37 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
5 CiteULike
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Title
Logic modeling and the ridiculome under the rug
Published in
BMC Biology, November 2012
DOI 10.1186/1741-7007-10-92
Pubmed ID
Authors

Michael L Blinov, Ion I Moraru

Abstract

Logic-derived modeling has been used to map biological networks and to study arbitrary functional interactions, and fine-grained kinetic modeling can accurately predict the detailed behavior of well-characterized molecular systems; at present, however, neither approach comes close to unraveling the full complexity of a cell. The current data revolution offers significant promises and challenges to both approaches - and could bring them together as it has spurred the development of new methods and tools that may help to bridge the many gaps between data, models, and mechanistic understanding.

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 7%
United Kingdom 3 3%
Spain 2 2%
Portugal 2 2%
Singapore 1 1%
Italy 1 1%
Brazil 1 1%
Iran, Islamic Republic of 1 1%
Mexico 1 1%
Other 4 4%
Unknown 69 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 31%
Student > Ph. D. Student 17 19%
Professor > Associate Professor 11 12%
Other 8 9%
Professor 7 8%
Other 14 15%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 57%
Biochemistry, Genetics and Molecular Biology 12 13%
Computer Science 5 5%
Engineering 3 3%
Medicine and Dentistry 2 2%
Other 7 8%
Unknown 10 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 23 February 2017.
All research outputs
#567,179
of 16,185,579 outputs
Outputs from BMC Biology
#138
of 1,397 outputs
Outputs of similar age
#6,815
of 259,505 outputs
Outputs of similar age from BMC Biology
#14
of 101 outputs
Altmetric has tracked 16,185,579 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has done particularly well, scoring higher than 90% 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 259,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.