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Predictive Modeling of Signaling Crosstalk during C. elegans Vulval Development

Overview of attention for article published in PLoS Computational Biology, May 2007
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Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
12 CiteULike
connotea
2 Connotea
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Title
Predictive Modeling of Signaling Crosstalk during C. elegans Vulval Development
Published in
PLoS Computational Biology, May 2007
DOI 10.1371/journal.pcbi.0030092
Pubmed ID
Authors

Jasmin Fisher, Nir Piterman, Alex Hajnal, Thomas A Henzinger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 5%
United States 4 3%
Portugal 1 <1%
Switzerland 1 <1%
Sweden 1 <1%
Hungary 1 <1%
India 1 <1%
Netherlands 1 <1%
Unknown 103 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 34%
Researcher 26 22%
Professor > Associate Professor 13 11%
Student > Master 8 7%
Student > Bachelor 7 6%
Other 20 17%
Unknown 4 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 45%
Computer Science 21 18%
Biochemistry, Genetics and Molecular Biology 13 11%
Engineering 5 4%
Physics and Astronomy 5 4%
Other 14 12%
Unknown 7 6%
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 22 May 2007.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#7,481
of 8,964 outputs
Outputs of similar age
#73,512
of 84,416 outputs
Outputs of similar age from PLoS Computational Biology
#27
of 30 outputs
Altmetric has tracked 25,394,764 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 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 is in the 11th percentile – i.e., 11% 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 84,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.