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An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype

Overview of attention for article published in Journal of Antimicrobial Chemotherapy (JAC), June 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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5 X users
wikipedia
1 Wikipedia page

Citations

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7 Dimensions

Readers on

mendeley
34 Mendeley
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Title
An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype
Published in
Journal of Antimicrobial Chemotherapy (JAC), June 2016
DOI 10.1093/jac/dkw217
Pubmed ID
Authors

Andrew D. Revell, Dechao Wang, Robin Wood, Carl Morrow, Hugo Tempelman, Raph L. Hamers, Peter Reiss, Ard I. van Sighem, Mark Nelson, Julio S. G. Montaner, H. Clifford Lane, Brendan A. Larder, on behalf of the RDI Data and Study Group, Peter Reiss, Ard van Sighem, Julio Montaner, Richard Harrigan, Tobias Rinke de Wit, Raph Hamers, Kim Sigaloff, Brian Agan, Vincent Marconi, Scott Wegner, Wataru Sugiura, Maurizio Zazzi, Rolf Kaiser, Eugen Schuelter, Adrian Streinu-Cercel, Gerardo Alvarez-Uria, Jose Gatell, Elisa Lazzari, Brian Gazzard, Mark Nelson, Anton Pozniak, Sundhiya Mandalia, Daniel Webster, Colette Smith, Lidia Ruiz, Bonaventura Clotet, Schlomo Staszewski, Carlo Torti, Cliff Lane, Julie Metcalf, Maria-Jesus Perez-Elias, Stefano Vella, Gabrielle Dettorre, Andrew Carr, Richard Norris, Karl Hesse, Emanuel Vlahakis, Hugo Tempelman, Roos Barth, Carl Morrow, Robin Wood, Chris Hoffmann, Luminita Ene, Gordana Dragovic, Ricardo Diaz, Cecilia Sucupira, Omar Sued, Carina Cesar, Juan Sierra Madero, Sean Emery, David Cooper, Carlo Torti, John Baxter, Laura Monno, Carlo Torti, Jose Gatell, Bonventura Clotet, Gaston Picchio, Marie-Pierre deBethune, Maria-Jesus Perez-Elias, Sean Emery, Paul Khabo, Lotty Ledwaba

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 5 15%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 3 9%
Professor > Associate Professor 3 9%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 13 38%
Immunology and Microbiology 5 15%
Agricultural and Biological Sciences 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 5 15%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 February 2024.
All research outputs
#6,930,354
of 25,377,790 outputs
Outputs from Journal of Antimicrobial Chemotherapy (JAC)
#2,781
of 8,174 outputs
Outputs of similar age
#107,635
of 369,936 outputs
Outputs of similar age from Journal of Antimicrobial Chemotherapy (JAC)
#54
of 128 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,174 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 65% 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 369,936 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 70% of its contemporaries.
We're also able to compare this research output to 128 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 57% of its contemporaries.