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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimizing Network Connectivity for Mobile Health Technologies in sub-Saharan Africa
|
|---|---|
| Published in |
PLOS ONE, September 2012
|
| DOI | 10.1371/journal.pone.0045643 |
| Pubmed ID | |
| Authors |
Mark J. Siedner, Alexander Lankowski, Derrick Musinga, Jonathon Jackson, Conrad Muzoora, Peter W. Hunt, Jeffrey N. Martin, David R. Bangsberg, Jessica E. Haberer |
| Abstract |
Mobile health (mHealth) technologies hold incredible promise to improve healthcare delivery in resource-limited settings. Network reliability across large catchment areas can be a major challenge. We performed an analysis of network failure frequency as part of a study of real-time adherence monitoring in rural Uganda. We hypothesized that the addition of short messaging service (SMS+GPRS) to the standard cellular network modality (GPRS) would reduce network disruptions and improve transmission of data. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Indonesia | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Ethiopia | 1 | <1% |
| Sweden | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 147 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 21% |
| Researcher | 24 | 16% |
| Student > Ph. D. Student | 23 | 15% |
| Student > Postgraduate | 10 | 7% |
| Other | 9 | 6% |
| Other | 35 | 23% |
| Unknown | 18 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 23% |
| Social Sciences | 20 | 13% |
| Nursing and Health Professions | 17 | 11% |
| Computer Science | 15 | 10% |
| Agricultural and Biological Sciences | 8 | 5% |
| Other | 29 | 19% |
| Unknown | 28 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 March 2013.
All research outputs
#6,697,068
of 22,681,577 outputs
Outputs from PLOS ONE
#78,763
of 193,576 outputs
Outputs of similar age
#49,345
of 172,158 outputs
Outputs of similar age from PLOS ONE
#1,423
of 4,426 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 172,158 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 4,426 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.