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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Marked variation in MSP-119 antibody responses to malaria in western Kenyan highlands
|
|---|---|
| Published in |
BMC Infectious Diseases, March 2012
|
| DOI | 10.1186/1471-2334-12-50 |
| Pubmed ID | |
| Authors |
Kingsley Badu, Yaw Asare Afrane, John Larbi, Virginia Ann Stewart, John Waitumbi, Evelina Angov, John M Ong'echa, Douglas J Perkins, Guofa Zhou, Andrew Githeko, Guiyun Yan |
| Abstract |
Assessment of malaria endemicity at different altitudes and transmission intensities, in the era of dwindling vector densities in the highlands, will provide valuable information for malaria control and surveillance. Measurement of serum anti-malarial antibodies is a useful marker of malaria exposure that indicates long-term transmission potential. We studied the serologic evidence of malaria endemicity at two highland sites along a transmission intensity cline. An improved understanding of the micro-geographic variation in malaria exposure in the highland ecosystems will be relevant in planning effective malaria control. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Master | 9 | 15% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Other | 6 | 10% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 27% |
| Agricultural and Biological Sciences | 13 | 22% |
| Immunology and Microbiology | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Engineering | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 March 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from BMC Infectious Diseases
#5,553
of 7,636 outputs
Outputs of similar age
#120,860
of 155,719 outputs
Outputs of similar age from BMC Infectious Diseases
#64
of 81 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 15th percentile – i.e., 15% 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 155,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.