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Mendeley readers
Attention Score in Context
Title |
Spatio-temporal modeling of signaling protein recruitment to EGFR
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Published in |
BMC Systems Biology, May 2010
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DOI | 10.1186/1752-0509-4-57 |
Pubmed ID | |
Authors |
Ming-yu Hsieh, Shujie Yang, Mary Ann Raymond-Stinz, Jeremy S Edwards, Bridget S Wilson |
Abstract |
A stochastic simulator was implemented to study EGFR signal initiation in 3D with single molecule detail. The model considers previously unexplored contributions to receptor-adaptor coupling, such as receptor clustering and diffusive properties of both receptors and binding partners. The agent-based and rule-based approach permits consideration of combinatorial complexity, a problem associated with multiple phosphorylation sites and the potential for simultaneous binding of adaptors. |
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 % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
United Kingdom | 1 | 1% |
Korea, Republic of | 1 | 1% |
Netherlands | 1 | 1% |
Unknown | 73 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 32% |
Researcher | 23 | 29% |
Student > Doctoral Student | 7 | 9% |
Student > Bachelor | 6 | 8% |
Other | 3 | 4% |
Other | 7 | 9% |
Unknown | 8 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 43% |
Medicine and Dentistry | 7 | 9% |
Chemistry | 7 | 9% |
Biochemistry, Genetics and Molecular Biology | 6 | 8% |
Engineering | 5 | 6% |
Other | 10 | 13% |
Unknown | 10 | 13% |
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 06 June 2012.
All research outputs
#18,308,895
of 22,668,244 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#85,649
of 94,996 outputs
Outputs of similar age from BMC Systems Biology
#17
of 24 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 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 94,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.