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Systematic quantitative characterization of cellular responses induced by multiple signals

Overview of attention for article published in BMC Systems Biology, May 2011
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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)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
wikipedia
1 Wikipedia page

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
59 Mendeley
citeulike
4 CiteULike
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Title
Systematic quantitative characterization of cellular responses induced by multiple signals
Published in
BMC Systems Biology, May 2011
DOI 10.1186/1752-0509-5-88
Pubmed ID
Authors

Ibrahim Al-Shyoukh, Fuqu Yu, Jiaying Feng, Karen Yan, Steven Dubinett, Chih-Ming Ho, Jeff S Shamma, Ren Sun

Abstract

Cells constantly sense many internal and environmental signals and respond through their complex signaling network, leading to particular biological outcomes. However, a systematic characterization and optimization of multi-signal responses remains a pressing challenge to traditional experimental approaches due to the arising complexity associated with the increasing number of signals and their intensities.

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Russia 1 2%
Germany 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 32%
Researcher 11 19%
Professor > Associate Professor 8 14%
Student > Master 7 12%
Student > Bachelor 3 5%
Other 5 8%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 31%
Medicine and Dentistry 7 12%
Engineering 6 10%
Computer Science 5 8%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 9 15%
Unknown 10 17%

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 19 November 2021.
All research outputs
#2,673,315
of 21,200,954 outputs
Outputs from BMC Systems Biology
#79
of 1,138 outputs
Outputs of similar age
#28,589
of 207,815 outputs
Outputs of similar age from BMC Systems Biology
#2
of 21 outputs
Altmetric has tracked 21,200,954 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,138 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 207,815 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 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.