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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Malaria hotspots defined by clinical malaria, asymptomatic carriage, PCR and vector numbers in a low transmission area on the Kenyan Coast
|
|---|---|
| Published in |
Malaria Journal, April 2016
|
| DOI | 10.1186/s12936-016-1260-3 |
| Pubmed ID | |
| Authors |
David Tiga Kangoye, Abdisalan Noor, Janet Midega, Joyce Mwongeli, Dora Mkabili, Polycarp Mogeni, Christine Kerubo, Pauline Akoo, Joseph Mwangangi, Chris Drakeley, Kevin Marsh, Philip Bejon, Patricia Njuguna |
| Abstract |
Targeted malaria control interventions are expected to be cost-effective. Clinical, parasitological and serological markers of malaria transmission have been used to detect malaria transmission hotspots, but few studies have examined the relationship between the different potential markers in low transmission areas. The present study reports on the relationships between clinical, parasitological, serological and entomological markers of malaria transmission in an area of low transmission intensity in Coastal Kenya. Longitudinal data collected from 831 children aged 5-17 months, cross-sectional survey data from 800 older children and adults, and entomological survey data collected in Ganze on the Kenyan Coast were used in the present study. The spatial scan statistic test used to detect malaria transmission hotspots was based on incidence of clinical malaria episodes, prevalence of asymptomatic asexual parasites carriage detected by microscopy and polymerase chain reaction (PCR), seroprevalence of antibodies to two Plasmodium falciparum merozoite antigens (AMA1 and MSP1-19) and densities of Anopheles mosquitoes in CDC light-trap catches. There was considerable overlapping of hotspots by these different markers, but only weak to moderate correlation between parasitological and serological markers. PCR prevalence and seroprevalence of antibodies to AMA1 or MSP1-19 appeared to be more sensitive markers of hotspots at very low transmission intensity. These findings may support the choice of either serology or PCR as markers in the detection of malaria transmission hotspots for targeted interventions. |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 111 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 19% |
| Student > Master | 19 | 17% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 5 | 4% |
| Other | 12 | 11% |
| Unknown | 32 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 19% |
| Agricultural and Biological Sciences | 18 | 16% |
| Biochemistry, Genetics and Molecular Biology | 6 | 5% |
| Immunology and Microbiology | 4 | 4% |
| Social Sciences | 4 | 4% |
| Other | 20 | 18% |
| Unknown | 40 | 35% |
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 May 2017.
All research outputs
#14,578,585
of 24,580,204 outputs
Outputs from Malaria Journal
#3,534
of 5,786 outputs
Outputs of similar age
#151,599
of 305,842 outputs
Outputs of similar age from Malaria Journal
#93
of 174 outputs
Altmetric has tracked 24,580,204 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 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 37th percentile – i.e., 37% 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 305,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.