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X Demographics
Mendeley readers
Attention Score in Context
| Title |
in silico Surveillance: evaluating outbreak detection with simulation models
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2013
|
| DOI | 10.1186/1472-6947-13-12 |
| Pubmed ID | |
| Authors |
Bryan Lewis, Stephen Eubank, Allyson M Abrams, Ken Kleinman |
| Abstract |
Detecting outbreaks is a crucial task for public health officials, yet gaps remain in the systematic evaluation of outbreak detection protocols. The authors' objectives were to design, implement, and test a flexible methodology for generating detailed synthetic surveillance data that provides realistic geographical and temporal clustering of cases and use to evaluate outbreak detection protocols. |
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% |
| Unknown | 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 34 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Ph. D. Student | 9 | 24% |
| Student > Master | 4 | 11% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Computer Science | 7 | 19% |
| Agricultural and Biological Sciences | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Other | 8 | 22% |
| Unknown | 5 | 14% |
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 24 January 2013.
All research outputs
#14,160,293
of 22,693,205 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,980 outputs
Outputs of similar age
#166,412
of 280,489 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#36
of 42 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 280,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.