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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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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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4 X users
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1 Facebook page

Citations

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40 Dimensions

Readers on

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123 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.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 123 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 119 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 20%
Student > Ph. D. Student 20 16%
Researcher 15 12%
Student > Bachelor 12 10%
Student > Doctoral Student 5 4%
Other 23 19%
Unknown 24 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 17%
Medicine and Dentistry 16 13%
Earth and Planetary Sciences 13 11%
Environmental Science 12 10%
Engineering 7 6%
Other 22 18%
Unknown 32 26%
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 31 January 2014.
All research outputs
#12,695,167
of 22,733,113 outputs
Outputs from PLOS ONE
#98,315
of 194,037 outputs
Outputs of similar age
#157,438
of 306,782 outputs
Outputs of similar age from PLOS ONE
#2,405
of 5,024 outputs
Altmetric has tracked 22,733,113 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 194,037 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 48th percentile – i.e., 48% 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 306,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,024 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 51% of its contemporaries.