| Title |
Modelling age-heterogeneous Schistosoma haematobium and S. mansoni survey data via alignment factors
|
|---|---|
| Published in |
Parasites & Vectors, July 2011
|
| DOI | 10.1186/1756-3305-4-142 |
| Pubmed ID | |
| Authors |
Nadine Schur, Jürg Utzinger, Penelope Vounatsou |
| Abstract |
Reliable maps of the geographical distribution, number of infected individuals and burden estimates of schistosomiasis are essential tools to plan, monitor and evaluate control programmes. Large-scale disease mapping and prediction efforts rely on compiled historical survey data obtained from the peer-reviewed literature and unpublished reports. Schistosomiasis surveys usually focus on school-aged children, whereas some surveys include entire communities. However, data are often reported for non-standard age groups or entire study populations. Existing geostatistical models ignore either the age-dependence of the disease risk or omit surveys considered too heterogeneous. |
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 | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| Indonesia | 1 | 1% |
| Unknown | 67 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 20% |
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Postgraduate | 4 | 6% |
| Other | 13 | 18% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 25% |
| Agricultural and Biological Sciences | 11 | 15% |
| Immunology and Microbiology | 5 | 7% |
| Environmental Science | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Other | 17 | 24% |
| Unknown | 13 | 18% |
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 16 November 2011.
All research outputs
#14,139,782
of 22,656,971 outputs
Outputs from Parasites & Vectors
#2,795
of 5,427 outputs
Outputs of similar age
#80,616
of 119,268 outputs
Outputs of similar age from Parasites & Vectors
#19
of 31 outputs
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.