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A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

patent
6 patents

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
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Title
A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells
Published in
BMC Systems Biology, January 2012
DOI 10.1186/1752-0509-6-66
Pubmed ID
Authors

Tian Hong, Jianhua Xing, Liwu Li, John J Tyson

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Denmark 1 2%
Japan 1 2%
Sweden 1 2%
Argentina 1 2%
Unknown 47 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 28%
Student > Ph. D. Student 14 26%
Other 6 11%
Professor 4 7%
Student > Master 4 7%
Other 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Biochemistry, Genetics and Molecular Biology 9 17%
Medicine and Dentistry 5 9%
Immunology and Microbiology 4 7%
Unspecified 3 6%
Other 9 17%

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 22 June 2017.
All research outputs
#3,173,786
of 11,394,845 outputs
Outputs from BMC Systems Biology
#249
of 977 outputs
Outputs of similar age
#88,727
of 247,300 outputs
Outputs of similar age from BMC Systems Biology
#10
of 33 outputs
Altmetric has tracked 11,394,845 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 977 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% 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 247,300 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 63% of its contemporaries.
We're also able to compare this research output to 33 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 69% of its contemporaries.