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Digital PCR as a tool to measure HIV persistence

Overview of attention for article published in Retrovirology, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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6 X users
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1 Wikipedia page

Citations

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72 Dimensions

Readers on

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211 Mendeley
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Title
Digital PCR as a tool to measure HIV persistence
Published in
Retrovirology, January 2018
DOI 10.1186/s12977-018-0399-0
Pubmed ID
Authors

Sofie Rutsaert, Kobus Bosman, Wim Trypsteen, Monique Nijhuis, Linos Vandekerckhove

Abstract

Although antiretroviral therapy is able to suppress HIV replication in infected patients, the virus persists and rebounds when treatment is stopped. In order to find a cure that can eradicate the latent reservoir, one must be able to quantify the persisting virus. Traditionally, HIV persistence studies have used real-time PCR (qPCR) to measure the viral reservoir represented by HIV DNA and RNA. Most recently, digital PCR is gaining popularity as a novel approach to nucleic acid quantification as it allows for absolute target quantification. Various commercial digital PCR platforms are nowadays available that implement the principle of digital PCR, of which Bio-Rad's QX200 ddPCR is currently the most used platform in HIV research. Quantification of HIV by digital PCR is proving to be a valuable improvement over qPCR as it is argued to have a higher robustness to mismatches between the primers-probe set and heterogeneous HIV, and forfeits the need for a standard curve, both of which are known to complicate reliable quantification. However, currently available digital PCR platforms occasionally struggle with unexplained false-positive partitions, and reliable segregation between positive and negative droplets remains disputed. Future developments and advancements of the digital PCR technology are promising to aid in the accurate quantification and characterization of the persistent HIV reservoir.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 20%
Researcher 38 18%
Student > Bachelor 29 14%
Student > Master 20 9%
Student > Doctoral Student 8 4%
Other 17 8%
Unknown 57 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 21%
Agricultural and Biological Sciences 30 14%
Immunology and Microbiology 23 11%
Medicine and Dentistry 22 10%
Engineering 4 2%
Other 16 8%
Unknown 71 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 January 2020.
All research outputs
#4,108,317
of 23,018,998 outputs
Outputs from Retrovirology
#199
of 1,108 outputs
Outputs of similar age
#92,235
of 440,320 outputs
Outputs of similar age from Retrovirology
#5
of 28 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,108 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 81% 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 440,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.