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Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling

Overview of attention for article published in BMC Systems Biology, August 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling
Published in
BMC Systems Biology, August 2012
DOI 10.1186/1752-0509-6-107
Pubmed ID
Authors

Matthew S Creamer, Edward C Stites, Meraj Aziz, James A Cahill, Chin Wee Tan, Michael E Berens, Haiyong Han, Kimberley J Bussey, Daniel D Von Hoff, William S Hlavacek, Richard G Posner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Germany 1 2%
Austria 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 35%
Student > Ph. D. Student 13 27%
Student > Bachelor 5 10%
Professor > Associate Professor 4 8%
Other 3 6%
Other 5 10%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 42%
Biochemistry, Genetics and Molecular Biology 9 19%
Computer Science 3 6%
Medicine and Dentistry 3 6%
Engineering 3 6%
Other 8 17%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 September 2014.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#55,858
of 169,331 outputs
Outputs of similar age from BMC Systems Biology
#8
of 28 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 169,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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 67% of its contemporaries.