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When noise makes music: HIV reactivation with transcriptional noise enhancers

Overview of attention for article published in Genome Medicine, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
6 tweeters

Readers on

mendeley
9 Mendeley
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Title
When noise makes music: HIV reactivation with transcriptional noise enhancers
Published in
Genome Medicine, July 2014
DOI 10.1186/s13073-014-0055-9
Pubmed ID
Authors

Xu Tan, Stephen J Elledge

Abstract

Reactivating latent HIV is key to depleting the virus reservoir in AIDS patients. A recent paper has described the rationale for and discovery of a new class of drugs - transcriptional noise enhancers - that can synergize with conventional transcription activators to more effectively reactivate latently infected T cells. As well as describing a promising new strategy in the bid to find a cure for AIDS, this study more broadly highlights the utility of exploring drug combinations in treatment of human disease.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Other 1 11%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Medicine and Dentistry 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Computer Science 1 11%
Arts and Humanities 1 11%
Other 0 0%

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 23 October 2014.
All research outputs
#4,542,401
of 9,723,656 outputs
Outputs from Genome Medicine
#685
of 821 outputs
Outputs of similar age
#68,166
of 185,027 outputs
Outputs of similar age from Genome Medicine
#18
of 26 outputs
Altmetric has tracked 9,723,656 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one is in the 15th percentile – i.e., 15% 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 185,027 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 61% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.