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A Computational Framework for Influenza Antigenic Cartography

Overview of attention for article published in PLoS Computational Biology, October 2010
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Mentioned by

patent
5 patents

Readers on

mendeley
106 Mendeley
citeulike
1 CiteULike
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Title
A Computational Framework for Influenza Antigenic Cartography
Published in
PLoS Computational Biology, October 2010
DOI 10.1371/journal.pcbi.1000949
Pubmed ID
Authors

Zhipeng Cai, Tong Zhang, Xiu-Feng Wan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Italy 1 <1%
Singapore 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Mexico 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 32%
Student > Ph. D. Student 17 16%
Student > Master 11 10%
Student > Bachelor 6 6%
Professor > Associate Professor 6 6%
Other 17 16%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 30%
Medicine and Dentistry 13 12%
Biochemistry, Genetics and Molecular Biology 10 9%
Immunology and Microbiology 6 6%
Veterinary Science and Veterinary Medicine 6 6%
Other 22 21%
Unknown 17 16%
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 04 February 2020.
All research outputs
#8,616,072
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#5,665
of 9,003 outputs
Outputs of similar age
#39,670
of 108,732 outputs
Outputs of similar age from PLoS Computational Biology
#33
of 58 outputs
Altmetric has tracked 25,576,801 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 9,003 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 108,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.