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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2013
|
| DOI | 10.1186/1471-2334-13-537 |
| Pubmed ID | |
| Authors |
István Bartha, Matthias Assel, Peter MA Sloot, Maurizio Zazzi, Carlo Torti, Eugen Schülter, Andrea De Luca, Anders Sönnerborg, Ana B Abecasis, Kristel Van Laethem, Andrea Rosi, Jenny Svärd, Roger Paredes, David AMC van de Vijver, Anne-Mieke Vandamme, Viktor Müller |
| Abstract |
Superinfection with drug resistant HIV strains could potentially contribute to compromised therapy in patients initially infected with drug-sensitive virus and receiving antiretroviral therapy. To investigate the importance of this potential route to drug resistance, we developed a bioinformatics pipeline to detect superinfection from routinely collected genotyping data, and assessed whether superinfection contributed to increased drug resistance in a large European cohort of viremic, drug treated patients. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 42 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Other | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Other | 8 | 18% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Agricultural and Biological Sciences | 6 | 14% |
| Computer Science | 5 | 11% |
| Immunology and Microbiology | 5 | 11% |
| Nursing and Health Professions | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 January 2023.
All research outputs
#13,448,776
of 23,221,875 outputs
Outputs from BMC Infectious Diseases
#3,248
of 7,785 outputs
Outputs of similar age
#110,530
of 213,486 outputs
Outputs of similar age from BMC Infectious Diseases
#43
of 126 outputs
Altmetric has tracked 23,221,875 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 7,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 56% 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 213,486 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 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 64% of its contemporaries.