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Habitat Hydrology and Geomorphology Control the Distribution of Malaria Vector Larvae in Rural Africa

Overview of attention for article published in PLOS ONE, December 2013
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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 (65th percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
100 Mendeley
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Title
Habitat Hydrology and Geomorphology Control the Distribution of Malaria Vector Larvae in Rural Africa
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0081931
Pubmed ID
Authors

Andrew J. Hardy, Javier G. P. Gamarra, Dónall E. Cross, Mark G. Macklin, Mark W. Smith, Japhet Kihonda, Gerry F. Killeen, George N. Ling’ala, Chris J. Thomas

Abstract

Larval source management is a promising component of integrated malaria control and elimination. This requires development of a framework to target productive locations through process-based understanding of habitat hydrology and geomorphology.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Italy 1 1%
Tanzania, United Republic of 1 1%
Canada 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Student > Ph. D. Student 18 18%
Researcher 15 15%
Student > Bachelor 9 9%
Lecturer 4 4%
Other 19 19%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 19%
Medicine and Dentistry 13 13%
Earth and Planetary Sciences 13 13%
Environmental Science 10 10%
Social Sciences 4 4%
Other 19 19%
Unknown 22 22%

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 31 January 2014.
All research outputs
#6,461,376
of 12,645,458 outputs
Outputs from PLOS ONE
#55,686
of 137,902 outputs
Outputs of similar age
#87,704
of 244,349 outputs
Outputs of similar age from PLOS ONE
#2,451
of 7,391 outputs
Altmetric has tracked 12,645,458 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 137,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 58% 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 244,349 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 7,391 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 65% of its contemporaries.