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Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

policy
1 policy source
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
123 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
3 CiteULike
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Title
Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India
Published in
PLoS Computational Biology, September 2010
DOI 10.1371/journal.pcbi.1000898
Pubmed ID
Authors

Karina Laneri, Anindya Bhadra, Edward L. Ionides, Menno Bouma, Ramesh C. Dhiman, Rajpal S. Yadav, Mercedes Pascual

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
United Kingdom 3 2%
Pakistan 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 137 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 29%
Student > Ph. D. Student 31 21%
Student > Master 14 9%
Student > Doctoral Student 13 9%
Professor 8 5%
Other 28 19%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 24%
Medicine and Dentistry 21 14%
Environmental Science 14 9%
Social Sciences 11 7%
Mathematics 10 7%
Other 29 19%
Unknown 28 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 February 2020.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#4,150
of 8,958 outputs
Outputs of similar age
#22,766
of 103,922 outputs
Outputs of similar age from PLoS Computational Biology
#21
of 54 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 53% 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 103,922 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 71% of its contemporaries.
We're also able to compare this research output to 54 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 57% of its contemporaries.