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Dynamics of in silico leukocyte rolling, activation, and adhesion

Overview of attention for article published in BMC Systems Biology, February 2007
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Title
Dynamics of in silico leukocyte rolling, activation, and adhesion
Published in
BMC Systems Biology, February 2007
DOI 10.1186/1752-0509-1-14
Pubmed ID
Authors

Jonathan Tang, Klaus F Ley, C Anthony Hunt

Abstract

We present a multilevel, agent based, in silico model that represents the dynamics of rolling, activation, and adhesion of individual leukocytes in vitro. Object-oriented software components were designed, verified, plugged together, and then operated in ways that represent the molecular and cellular mechanisms believed responsible for leukocyte rolling and adhesion. The result is an in silico analogue of an experimental in vitro system. The experimentally measured, phenotypic attributes of the analogue were compared and contrasted to those of leukocytes in vitro from three different experimental conditions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 7 18%
Student > Master 7 18%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 7 18%
Unknown 4 10%
Readers by discipline Count As %
Engineering 10 26%
Biochemistry, Genetics and Molecular Biology 5 13%
Agricultural and Biological Sciences 5 13%
Computer Science 3 8%
Mathematics 2 5%
Other 9 23%
Unknown 5 13%
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 19 October 2014.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#27,325
of 77,057 outputs
Outputs of similar age from BMC Systems Biology
#6
of 7 outputs
Altmetric has tracked 22,785,242 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 77,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.