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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of Clinical and Immunological Markers for Predicting Virological Failure in a HIV/AIDS Treatment Cohort in Busia, Kenya
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049834 |
| Pubmed ID | |
| Authors |
Cecilia Ferreyra, Oliver Yun, Nell Eisenberg, Elena Alonso, Ashimosi S. Khamadi, Matilu Mwau, Martha Kihara Mugendi, Ana Alvarez, Elena Velilla, Laurence Flevaud, Mireia Arnedo, David Dalmau, Paul Roddy, Andrea Bernasconi, Pedro Pablo Palma |
| Abstract |
In resource-limited settings where viral load (VL) monitoring is scarce or unavailable, clinicians must use immunological and clinical criteria to define HIV virological treatment failure. This study examined the performance of World Health Organization (WHO) clinical and immunological failure criteria in predicting virological failure in HIV patients receiving antiretroviral therapy (ART). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 1 | <1% |
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 112 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 24% |
| Researcher | 23 | 20% |
| Student > Postgraduate | 9 | 8% |
| Lecturer | 8 | 7% |
| Student > Ph. D. Student | 7 | 6% |
| Other | 21 | 18% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 57 | 49% |
| Agricultural and Biological Sciences | 8 | 7% |
| Nursing and Health Professions | 6 | 5% |
| Immunology and Microbiology | 6 | 5% |
| Social Sciences | 5 | 4% |
| Other | 12 | 10% |
| Unknown | 23 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 December 2012.
All research outputs
#18,321,703
of 22,687,320 outputs
Outputs from PLOS ONE
#153,900
of 193,653 outputs
Outputs of similar age
#214,145
of 275,937 outputs
Outputs of similar age from PLOS ONE
#3,419
of 4,682 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 275,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,682 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.