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Mendeley readers
Attention Score in Context
Title |
Identifying landscape features associated with Rift Valley fever virus transmission, Ferlo region, Senegal, using very high spatial resolution satellite imagery
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Published in |
International Journal of Health Geographics, March 2013
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DOI | 10.1186/1476-072x-12-10 |
Pubmed ID | |
Authors |
Valérie Soti, Véronique Chevalier, Jonathan Maura, Agnès Bégué, Camille Lelong, Renaud Lancelot, Yaya Thiongane, Annelise Tran |
Abstract |
Dynamics of most of vector-borne diseases are strongly linked to global and local environmental changes. Landscape changes are indicators of human activities or natural processes that are likely to modify the ecology of the diseases. Here, a landscape approach developed at a local scale is proposed for extracting mosquito favourable biotopes, and for testing ecological parameters when identifying risk areas of Rift Valley fever (RVF) transmission. The study was carried out around Barkedji village, Ferlo region, Senegal. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 3 | 3% |
Tanzania, United Republic of | 1 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 97 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 30% |
Student > Ph. D. Student | 14 | 13% |
Student > Master | 14 | 13% |
Student > Bachelor | 8 | 8% |
Student > Postgraduate | 5 | 5% |
Other | 10 | 10% |
Unknown | 23 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 26 | 25% |
Environmental Science | 14 | 13% |
Medicine and Dentistry | 10 | 10% |
Veterinary Science and Veterinary Medicine | 6 | 6% |
Computer Science | 4 | 4% |
Other | 15 | 14% |
Unknown | 30 | 29% |
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 05 March 2013.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#374
of 654 outputs
Outputs of similar age
#113,321
of 206,326 outputs
Outputs of similar age from International Journal of Health Geographics
#10
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 40th percentile – i.e., 40% 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 206,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 52% of its contemporaries.