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Should Expectations about the Rate of New Antiretroviral Drug Development Impact the Timing of HIV Treatment Initiation and Expectations about Treatment Benefits?

Overview of attention for article published in PLOS ONE, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Should Expectations about the Rate of New Antiretroviral Drug Development Impact the Timing of HIV Treatment Initiation and Expectations about Treatment Benefits?
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0098354
Pubmed ID
Authors

Amin Khademi, R. Scott Braithwaite, Denis Saure, Andrew J. Schaefer, Kimberly Nucifora, Mark S. Roberts

Abstract

Many analyses of HIV treatment decisions assume a fixed formulary of HIV drugs. However, new drugs are approved nearly twice a year, and the rate of availability of new drugs may affect treatment decisions, particularly when to initiate antiretroviral therapy (ART).

X Demographics

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.
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 %
United States 2 6%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 4 12%
Other 3 9%
Researcher 3 9%
Student > Bachelor 3 9%
Other 7 21%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Psychology 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 2 6%
Social Sciences 2 6%
Other 6 18%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 22 December 2015.
All research outputs
#1,207,806
of 22,757,541 outputs
Outputs from PLOS ONE
#16,043
of 194,187 outputs
Outputs of similar age
#12,959
of 227,908 outputs
Outputs of similar age from PLOS ONE
#375
of 4,423 outputs
Altmetric has tracked 22,757,541 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 194,187 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 91% 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 227,908 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 94% of its contemporaries.
We're also able to compare this research output to 4,423 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.