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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The household contact study design for genetic epidemiological studies of infectious diseases
|
|---|---|
| Published in |
Frontiers in Genetics, January 2013
|
| DOI | 10.3389/fgene.2013.00061 |
| Pubmed ID | |
| Authors |
Catherine M. Stein, Noémi B. Hall, LaShaunda L. Malone, Ezekiel Mupere |
| Abstract |
MOST GENETIC EPIDEMIOLOGICAL STUDY DESIGNS FALL INTO ONE OF TWO CATEGORIES: family based and population-based (case-control). However, recent advances in statistical genetics call for study designs that combine these two approaches. We describe the household contact study design as we have applied it in our several years of study of the epidemiology of tuberculosis. Though we highlight its applicability for genetic epidemiological studies of infectious diseases, there are many facets of this design that are appealing for modern genetic studies, including the simultaneous enrollment of related and unrelated individuals, closely and distantly related individuals, collection of extensive epidemiologic and phenotypic data, and evaluation of effects of shared environment and gene by environment interaction. These study design characteristics are particularly appealing for current sequencing studies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 30% |
| Researcher | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Unspecified | 2 | 6% |
| Professor | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 33% |
| Agricultural and Biological Sciences | 5 | 15% |
| Nursing and Health Professions | 3 | 9% |
| Immunology and Microbiology | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 6 | 18% |
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 30 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Frontiers in Genetics
#8,529
of 11,755 outputs
Outputs of similar age
#248,737
of 280,717 outputs
Outputs of similar age from Frontiers in Genetics
#263
of 319 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,755 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.