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Predictive power of cell‐to‐cell variability

Overview of attention for article published in Quantitative Biology, June 2013
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Mentioned by

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1 Google+ user

Citations

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27 Dimensions

Readers on

mendeley
38 Mendeley
Title
Predictive power of cell‐to‐cell variability
Published in
Quantitative Biology, June 2013
DOI 10.1007/s40484-013-0013-3
Authors

Bochong Li, Lingchong You

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Chile 1 3%
United States 1 3%
Switzerland 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 47%
Researcher 6 16%
Student > Master 5 13%
Professor > Associate Professor 3 8%
Other 1 3%
Other 1 3%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 34%
Biochemistry, Genetics and Molecular Biology 5 13%
Engineering 3 8%
Mathematics 2 5%
Physics and Astronomy 2 5%
Other 9 24%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 May 2013.
All research outputs
#16,889,408
of 24,833,004 outputs
Outputs from Quantitative Biology
#57
of 89 outputs
Outputs of similar age
#124,438
of 198,777 outputs
Outputs of similar age from Quantitative Biology
#1
of 1 outputs
Altmetric has tracked 24,833,004 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 89 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 198,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them