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X Demographics
Mendeley readers
Attention Score in Context
Title |
Barcoding T Cell Calcium Response Diversity with Methods for Automated and Accurate Analysis of Cell Signals (MAAACS)
|
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Published in |
PLoS Computational Biology, September 2013
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DOI | 10.1371/journal.pcbi.1003245 |
Pubmed ID | |
Authors |
Audrey Salles, Cyrille Billaudeau, Arnauld Sergé, Anne-Marie Bernard, Marie-Claire Phélipot, Nicolas Bertaux, Mathieu Fallet, Pierre Grenot, Didier Marguet, Hai-Tao He, Yannick Hamon |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 56 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 29% |
Researcher | 14 | 24% |
Student > Master | 8 | 14% |
Professor | 3 | 5% |
Student > Bachelor | 3 | 5% |
Other | 4 | 7% |
Unknown | 9 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 28% |
Biochemistry, Genetics and Molecular Biology | 15 | 26% |
Immunology and Microbiology | 6 | 10% |
Physics and Astronomy | 3 | 5% |
Medicine and Dentistry | 2 | 3% |
Other | 6 | 10% |
Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 March 2021.
All research outputs
#7,363,939
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,996
of 8,964 outputs
Outputs of similar age
#61,312
of 215,486 outputs
Outputs of similar age from PLoS Computational Biology
#59
of 127 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
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 43rd percentile – i.e., 43% 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 215,486 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 127 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 53% of its contemporaries.