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X Demographics
Mendeley readers
Attention Score in Context
Title |
Early infant diagnosis of HIV infection in Zambia through mobile phone texting of blood test results
|
---|---|
Published in |
Bulletin of the World Health Organization, May 2012
|
DOI | 10.2471/blt.11.100032 |
Pubmed ID | |
Authors |
Phil Seidenberg, Stephen Nicholson, Merrick Schaefer, Katherine Semrau, Maximillian Bweupe, Noel Masese, Rachael Bonawitz, Lastone Chitembo, Caitlin Goggin, Donald Thea |
Abstract |
To see if, in the diagnosis of infant infection with human immunodeficiency virus (HIV) in Zambia, turnaround times could be reduced by using an automated notification system based on mobile phone texting. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 20% |
South Africa | 1 | 20% |
Canada | 1 | 20% |
Mexico | 1 | 20% |
United States | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 185 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 2% |
Student > Bachelor | 2 | 1% |
Student > Master | 2 | 1% |
Researcher | 1 | <1% |
Unknown | 177 | 96% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 2% |
Nursing and Health Professions | 1 | <1% |
Computer Science | 1 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Economics, Econometrics and Finance | 1 | <1% |
Other | 1 | <1% |
Unknown | 176 | 95% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 22 August 2022.
All research outputs
#3,791,129
of 25,988,468 outputs
Outputs from Bulletin of the World Health Organization
#109
of 599 outputs
Outputs of similar age
#23,845
of 176,707 outputs
Outputs of similar age from Bulletin of the World Health Organization
#1
of 2 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 599 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 84% 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 176,707 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 86% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them