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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High acceptability for cell phone text messages to improve communication of laboratory results with HIV-infected patients in rural Uganda: a cross-sectional survey study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2012
|
| DOI | 10.1186/1472-6947-12-56 |
| Pubmed ID | |
| Authors |
Mark J Siedner, Jessica E Haberer, Mwebesa Bosco Bwana, Norma C Ware, David R Bangsberg |
| Abstract |
Patient-provider communication is a major challenge in resource-limited settings with large catchment areas. Though mobile phone usership increased 20-fold in Africa over the past decade, little is known about acceptability of, perceptions about disclosure and confidentiality, and preferences for cell phone communication of health information in the region. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Senegal | 1 | 25% |
| Venezuela, Bolivarian Republic of | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 2 | <1% |
| Sweden | 1 | <1% |
| Ghana | 1 | <1% |
| Kenya | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 241 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 60 | 24% |
| Student > Ph. D. Student | 40 | 16% |
| Researcher | 35 | 14% |
| Student > Postgraduate | 14 | 6% |
| Student > Bachelor | 13 | 5% |
| Other | 42 | 17% |
| Unknown | 47 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 22% |
| Social Sciences | 36 | 14% |
| Nursing and Health Professions | 28 | 11% |
| Computer Science | 23 | 9% |
| Engineering | 9 | 4% |
| Other | 34 | 14% |
| Unknown | 65 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 November 2012.
All research outputs
#12,739,534
of 22,669,724 outputs
Outputs from BMC Medical Informatics and Decision Making
#859
of 1,978 outputs
Outputs of similar age
#87,019
of 164,032 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 48 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 56% 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 164,032 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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 58% of its contemporaries.