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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of missing data procedures for addressing selection bias in HIV sentinel surveillance data
|
|---|---|
| Published in |
Population Health Metrics, July 2013
|
| DOI | 10.1186/1478-7954-11-12 |
| Pubmed ID | |
| Authors |
Marie Ng, Emmanuela Gakidou, Christopher JL Murray, Stephen S Lim |
| Abstract |
Selection bias is common in clinic-based HIV surveillance. Clinics located in HIV hotspots are often the first to be chosen and monitored, while clinics in less prevalent areas are added to the surveillance system later on. Consequently, the estimated HIV prevalence based on clinic data is substantially distorted, with markedly higher HIV prevalence in the earlier periods and trends that reveal much more dramatic declines than actually occur. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Other | 3 | 17% |
| Student > Master | 2 | 11% |
| Professor | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 22% |
| Social Sciences | 4 | 22% |
| Mathematics | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 3 | 17% |
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 25 August 2013.
All research outputs
#15,274,524
of 22,714,025 outputs
Outputs from Population Health Metrics
#307
of 392 outputs
Outputs of similar age
#122,267
of 197,947 outputs
Outputs of similar age from Population Health Metrics
#7
of 9 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 17th percentile – i.e., 17% 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 197,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.