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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictors of suboptimal CD4 response among women achieving virologic suppression in a randomized antiretroviral treatment trial, Africa
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2014
|
| DOI | 10.1186/1471-2334-14-331 |
| Pubmed ID | |
| Authors |
Aida Asmelash, Yu Zheng, Kara Wools Kaloustian, Douglas Shaffer, Fred Sawe, Anthony Ogwu, Robert Salata, Judith Currier, Michael D Hughes, Shahin Lockman |
| Abstract |
A subset of HIV-1 infected patients starting highly active antiretroviral treatment (HAART) experience suboptimal CD4 response (SCR) despite virologic suppression. We studied the rate of and risk factors for SCR among women starting HAART in the ACTG A5208 study conducted in 7 African countries. 741 HAART-naive women with screening CD4 count <200 cells/μL were randomized to start HAART with Tenofovir/Emtricitabine plus either Nevirapine or Lopinavir/Ritonavir. |
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 % |
|---|---|---|
| United States | 3 | 60% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 2 | 4% |
| Unknown | 55 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Master | 11 | 19% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Postgraduate | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 39% |
| Agricultural and Biological Sciences | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 9 | 16% |
| Unknown | 14 | 25% |
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 03 July 2014.
All research outputs
#13,662,605
of 23,577,761 outputs
Outputs from BMC Infectious Diseases
#3,241
of 7,854 outputs
Outputs of similar age
#110,975
of 229,861 outputs
Outputs of similar age from BMC Infectious Diseases
#73
of 171 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 57% 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 229,861 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 51% of its contemporaries.
We're also able to compare this research output to 171 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 56% of its contemporaries.