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X Demographics
Mendeley readers
Attention Score in Context
Title |
CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms
|
---|---|
Published in |
BMC Systems Biology, October 2012
|
DOI | 10.1186/1752-0509-6-133 |
Pubmed ID | |
Authors |
Camille Terfve, Thomas Cokelaer, David Henriques, Aidan MacNamara, Emanuel Goncalves, Melody K Morris, Martijn van Iersel, Douglas A Lauffenburger, Julio Saez-Rodriguez |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
United Kingdom | 2 | <1% |
Luxembourg | 2 | <1% |
Netherlands | 1 | <1% |
Italy | 1 | <1% |
Latvia | 1 | <1% |
Brazil | 1 | <1% |
France | 1 | <1% |
Mexico | 1 | <1% |
Other | 3 | 1% |
Unknown | 233 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 76 | 30% |
Researcher | 53 | 21% |
Student > Master | 31 | 12% |
Student > Bachelor | 18 | 7% |
Professor > Associate Professor | 12 | 5% |
Other | 38 | 15% |
Unknown | 22 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 103 | 41% |
Biochemistry, Genetics and Molecular Biology | 43 | 17% |
Computer Science | 27 | 11% |
Engineering | 17 | 7% |
Mathematics | 10 | 4% |
Other | 22 | 9% |
Unknown | 28 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 03 December 2015.
All research outputs
#2,719,106
of 23,881,329 outputs
Outputs from BMC Systems Biology
#68
of 1,126 outputs
Outputs of similar age
#19,086
of 177,804 outputs
Outputs of similar age from BMC Systems Biology
#1
of 13 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 94% 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 177,804 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 89% of its contemporaries.
We're also able to compare this research output to 13 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 99% of its contemporaries.