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Combining Network Modeling and Gene Expression Microarray Analysis to Explore the Dynamics of Th1 and Th2 Cell Regulation

Overview of attention for article published in PLoS Computational Biology, December 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
94 Mendeley
citeulike
5 CiteULike
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Title
Combining Network Modeling and Gene Expression Microarray Analysis to Explore the Dynamics of Th1 and Th2 Cell Regulation
Published in
PLoS Computational Biology, December 2010
DOI 10.1371/journal.pcbi.1001032
Pubmed ID
Authors

Marco Pedicini, Fredrik Barrenäs, Trevor Clancy, Filippo Castiglione, Eivind Hovig, Kartiek Kanduri, Daniele Santoni, Mikael Benson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Italy 1 1%
Hong Kong 1 1%
United Kingdom 1 1%
Sweden 1 1%
Spain 1 1%
China 1 1%
Unknown 84 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 30%
Researcher 27 29%
Student > Bachelor 8 9%
Professor 6 6%
Professor > Associate Professor 5 5%
Other 13 14%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 46%
Biochemistry, Genetics and Molecular Biology 10 11%
Computer Science 9 10%
Medicine and Dentistry 9 10%
Mathematics 5 5%
Other 8 9%
Unknown 10 11%
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 12 September 2023.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#5,637
of 8,960 outputs
Outputs of similar age
#57,573
of 190,635 outputs
Outputs of similar age from PLoS Computational Biology
#30
of 57 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% 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 190,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.