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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulation of malaria epidemiology and control in the highlands of western Kenya
|
|---|---|
| Published in |
Malaria Journal, October 2012
|
| DOI | 10.1186/1475-2875-11-357 |
| Pubmed ID | |
| Authors |
Erin M Stuckey, Jennifer C Stevenson, Mary K Cooke, Chrispin Owaga, Elizabeth Marube, George Oando, Diggory Hardy, Chris Drakeley, Thomas A Smith, Jonathan Cox, Nakul Chitnis |
| Abstract |
Models of Plasmodium falciparum malaria epidemiology that provide realistic quantitative predictions of likely epidemiological outcomes of existing vector control strategies have the potential to assist in planning for the control and elimination of malaria. This work investigates the applicability of mathematical modelling of malaria transmission dynamics in Rachuonyo South, a district with low, unstable transmission in the highlands of western Kenya. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| Senegal | 1 | <1% |
| Unknown | 131 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 19% |
| Student > Master | 26 | 19% |
| Student > Ph. D. Student | 21 | 15% |
| Student > Doctoral Student | 6 | 4% |
| Student > Bachelor | 6 | 4% |
| Other | 22 | 16% |
| Unknown | 30 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 18% |
| Medicine and Dentistry | 23 | 17% |
| Computer Science | 10 | 7% |
| Engineering | 8 | 6% |
| Nursing and Health Professions | 6 | 4% |
| Other | 32 | 23% |
| Unknown | 34 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 June 2013.
All research outputs
#16,035,911
of 24,400,706 outputs
Outputs from Malaria Journal
#4,465
of 5,827 outputs
Outputs of similar age
#116,494
of 187,363 outputs
Outputs of similar age from Malaria Journal
#49
of 80 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,827 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 19th percentile – i.e., 19% 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 187,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.