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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients
|
|---|---|
| Published in |
Retrovirology, October 2012
|
| DOI | 10.1186/1742-4690-9-81 |
| Pubmed ID | |
| Authors |
Kristof Theys, Koen Deforche, Jurgen Vercauteren, Pieter Libin, David AMC van de Vijver, Jan Albert, Birgitta Åsjö, Claudia Balotta, Marie Bruckova, Ricardo J Camacho, Bonaventura Clotet, Suzie Coughlan, Zehava Grossman, Osamah Hamouda, Andrzei Horban, Klaus Korn, Leondios G Kostrikis, Claudia Kücherer, Claus Nielsen, Dimitrios Paraskevis, Mario Poljak, Elisabeth Puchhammer-Stockl, Chiara Riva, Lidia Ruiz, Kirsi Liitsola, Jean-Claude Schmit, Rob Schuurman, Anders Sönnerborg, Danica Stanekova, Maja Stanojevic, Daniel Struck, Kristel Van Laethem, Annemarie MJ Wensing, Charles AB Boucher, Anne-Mieke Vandamme |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| Tanzania, United Republic of | 1 | 1% |
| Hungary | 1 | 1% |
| Kenya | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 77 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 17% |
| Professor > Associate Professor | 12 | 14% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Master | 7 | 8% |
| Other | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 21 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 23% |
| Agricultural and Biological Sciences | 12 | 14% |
| Immunology and Microbiology | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Computer Science | 6 | 7% |
| Other | 5 | 6% |
| Unknown | 27 | 33% |
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 05 October 2012.
All research outputs
#14,734,103
of 22,679,690 outputs
Outputs from Retrovirology
#731
of 1,102 outputs
Outputs of similar age
#104,631
of 172,465 outputs
Outputs of similar age from Retrovirology
#29
of 53 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 is in the 29th percentile – i.e., 29% 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 172,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.