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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Relationships of PBMC microRNA expression, plasma viral load, and CD4+ T-cell count in HIV-1-infected elite suppressors and viremic patients
|
|---|---|
| Published in |
Retrovirology, January 2012
|
| DOI | 10.1186/1742-4690-9-5 |
| Pubmed ID | |
| Authors |
Kenneth W Witwer, Andria K Watson, Joel N Blankson, Janice E Clements |
| Abstract |
HIV-1-infected elite controllers or suppressors (ES) maintain undetectable viral loads (< 50 copies/mL) without antiretroviral therapy. The mechanisms of suppression are incompletely understood. Modulation of HIV-1 replication by miRNAs has been reported, but the role of small RNAs in ES is unknown. Using samples from a well-characterized ES cohort, untreated viremic patients, and uninfected controls, we explored the PBMC miRNA profile and probed the relationships of miRNA expression, CD4+ T-cell counts, and viral load. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United Kingdom | 2 | 29% |
| Spain | 1 | 14% |
| Australia | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| India | 2 | 2% |
| Spain | 1 | <1% |
| Unknown | 125 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 24% |
| Student > Ph. D. Student | 27 | 21% |
| Student > Master | 15 | 11% |
| Student > Doctoral Student | 12 | 9% |
| Professor > Associate Professor | 9 | 7% |
| Other | 24 | 18% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 37% |
| Medicine and Dentistry | 25 | 19% |
| Biochemistry, Genetics and Molecular Biology | 17 | 13% |
| Immunology and Microbiology | 16 | 12% |
| Social Sciences | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 17 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 28 September 2019.
All research outputs
#1,159,468
of 22,661,413 outputs
Outputs from Retrovirology
#46
of 1,102 outputs
Outputs of similar age
#8,079
of 243,452 outputs
Outputs of similar age from Retrovirology
#1
of 9 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 95% 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 243,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 9 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