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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Info-gap management of public health Policy for TB with HIV-prevalence and epidemiological uncertainty
|
|---|---|
| Published in |
BMC Public Health, December 2012
|
| DOI | 10.1186/1471-2458-12-1091 |
| Pubmed ID | |
| Authors |
Yakov Ben-Haim, Clifford C Dacso, Nicola M Zetola |
| Abstract |
Formulation and evaluation of public health policy commonly employs science-based mathematical models. For instance, epidemiological dynamics of TB is dominated, in general, by flow between actively and latently infected populations. Thus modelling is central in planning public health intervention. However, models are highly uncertain because they are based on observations that are geographically and temporally distinct from the population to which they are applied. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Canada | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 60 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 20 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 29% |
| Social Sciences | 5 | 8% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Mathematics | 2 | 3% |
| Other | 10 | 15% |
| Unknown | 23 | 35% |
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 12 January 2013.
All research outputs
#15,160,034
of 23,316,003 outputs
Outputs from BMC Public Health
#11,143
of 15,204 outputs
Outputs of similar age
#178,348
of 283,263 outputs
Outputs of similar age from BMC Public Health
#211
of 285 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 23rd percentile – i.e., 23% 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 283,263 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.