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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying a framework for assessing the health system challenges to scaling up mHealth in South Africa
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2012
|
| DOI | 10.1186/1472-6947-12-123 |
| Pubmed ID | |
| Authors |
Natalie Leon, Helen Schneider, Emmanuelle Daviaud |
| Abstract |
Mobile phone technology has demonstrated the potential to improve health service delivery, but there is little guidance to inform decisions about acquiring and implementing mHealth technology at scale in health systems. Using the case of community-based health services (CBS) in South Africa, we apply a framework to appraise the opportunities and challenges to effective implementation of mHealth at scale in health systems. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 3 | 27% |
| India | 2 | 18% |
| United States | 2 | 18% |
| Senegal | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Practitioners (doctors, other healthcare professionals) | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 757 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | <1% |
| South Africa | 5 | <1% |
| United Kingdom | 4 | <1% |
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| Colombia | 2 | <1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 728 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 173 | 23% |
| Student > Postgraduate | 91 | 12% |
| Researcher | 80 | 11% |
| Student > Ph. D. Student | 63 | 8% |
| Student > Bachelor | 41 | 5% |
| Other | 108 | 14% |
| Unknown | 201 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 172 | 23% |
| Medicine and Dentistry | 98 | 13% |
| Social Sciences | 70 | 9% |
| Nursing and Health Professions | 49 | 6% |
| Business, Management and Accounting | 43 | 6% |
| Other | 107 | 14% |
| Unknown | 218 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 October 2013.
All research outputs
#4,725,141
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#410
of 2,030 outputs
Outputs of similar age
#34,462
of 185,410 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 41 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 80% 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 185,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.