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Using dimension reduction to improve outbreak predictability of multistrain diseases

Overview of attention for article published in Journal of Mathematical Biology, February 2007
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
3 CiteULike
Title
Using dimension reduction to improve outbreak predictability of multistrain diseases
Published in
Journal of Mathematical Biology, February 2007
DOI 10.1007/s00285-007-0074-x
Pubmed ID
Authors

Leah B. Shaw, Lora Billings, Ira B. Schwartz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 8%
United Kingdom 1 2%
Mexico 1 2%
Germany 1 2%
Unknown 52 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 35%
Student > Ph. D. Student 12 20%
Student > Master 6 10%
Student > Doctoral Student 3 5%
Professor 3 5%
Other 11 18%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 35%
Medicine and Dentistry 11 18%
Mathematics 8 13%
Computer Science 5 8%
Physics and Astronomy 3 5%
Other 8 13%
Unknown 4 7%
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 07 April 2016.
All research outputs
#7,508,670
of 22,931,367 outputs
Outputs from Journal of Mathematical Biology
#156
of 657 outputs
Outputs of similar age
#27,305
of 76,408 outputs
Outputs of similar age from Journal of Mathematical Biology
#2
of 2 outputs
Altmetric has tracked 22,931,367 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 657 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% 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 76,408 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 2 others from the same source and published within six weeks on either side of this one.