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Mendeley readers
Attention Score in Context
| Title |
Topographic models for predicting malaria vector breeding habitats: potential tools for vector control managers
|
|---|---|
| Published in |
Parasites & Vectors, January 2013
|
| DOI | 10.1186/1756-3305-6-14 |
| Pubmed ID | |
| Authors |
Jephtha C Nmor, Toshihiko Sunahara, Kensuke Goto, Kyoko Futami, George Sonye, Peter Akweywa, Gabriel Dida, Noboru Minakawa |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| Italy | 1 | <1% |
| Senegal | 1 | <1% |
| Brazil | 1 | <1% |
| Indonesia | 1 | <1% |
| Canada | 1 | <1% |
| Congo, The Democratic Republic of the | 1 | <1% |
| Unknown | 132 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 22% |
| Researcher | 22 | 15% |
| Student > Ph. D. Student | 16 | 11% |
| Student > Postgraduate | 10 | 7% |
| Student > Bachelor | 8 | 6% |
| Other | 33 | 23% |
| Unknown | 23 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 20% |
| Medicine and Dentistry | 24 | 17% |
| Environmental Science | 19 | 13% |
| Earth and Planetary Sciences | 12 | 8% |
| Social Sciences | 6 | 4% |
| Other | 21 | 15% |
| Unknown | 32 | 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 24 July 2015.
All research outputs
#12,945,022
of 22,849,304 outputs
Outputs from Parasites & Vectors
#2,188
of 5,468 outputs
Outputs of similar age
#155,145
of 285,515 outputs
Outputs of similar age from Parasites & Vectors
#22
of 36 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,468 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 285,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.