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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developing open source, self-contained disease surveillance software applications for use in resource-limited settings
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2012
|
| DOI | 10.1186/1472-6947-12-99 |
| Pubmed ID | |
| Authors |
Timothy C Campbell, Charles J Hodanics, Steven M Babin, Adjoa M Poku, Richard A Wojcik, Joseph F Skora, Jacqueline S Coberly, Zarna S Mistry, Sheri H Lewis |
| Abstract |
Emerging public health threats often originate in resource-limited countries. In recognition of this fact, the World Health Organization issued revised International Health Regulations in 2005, which call for significantly increased reporting and response capabilities for all signatory nations. Electronic biosurveillance systems can improve the timeliness of public health data collection, aid in the early detection of and response to disease outbreaks, and enhance situational awareness. |
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 % |
|---|---|---|
| India | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 98 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 17% |
| Researcher | 16 | 16% |
| Student > Bachelor | 13 | 13% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Doctoral Student | 9 | 9% |
| Other | 24 | 24% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 26% |
| Computer Science | 17 | 17% |
| Nursing and Health Professions | 8 | 8% |
| Agricultural and Biological Sciences | 7 | 7% |
| Social Sciences | 7 | 7% |
| Other | 17 | 17% |
| Unknown | 19 | 19% |
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 14 September 2012.
All research outputs
#14,151,132
of 22,678,224 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,102
of 1,978 outputs
Outputs of similar age
#98,150
of 169,179 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 42 outputs
Altmetric has tracked 22,678,224 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 1,978 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 169,179 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.