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Dynamic nanopore long-read sequencing analysis of HIV-1 splicing events during the early steps of infection

Overview of attention for article published in Retrovirology, August 2020
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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 (86th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Dynamic nanopore long-read sequencing analysis of HIV-1 splicing events during the early steps of infection
Published in
Retrovirology, August 2020
DOI 10.1186/s12977-020-00533-1
Pubmed ID
Authors

Nam Nguyen Quang, Sophie Goudey, Emmanuel Ségéral, Ammara Mohammad, Sophie Lemoine, Corinne Blugeon, Margaux Versapuech, Jean-Christophe Paillart, Clarisse Berlioz-Torrent, Stéphane Emiliani, Sarah Gallois-Montbrun

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Student > Ph. D. Student 5 9%
Researcher 4 7%
Professor > Associate Professor 3 6%
Student > Master 3 6%
Other 5 9%
Unknown 25 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Immunology and Microbiology 7 13%
Agricultural and Biological Sciences 7 13%
Arts and Humanities 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 25 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 November 2021.
All research outputs
#3,333,097
of 23,344,526 outputs
Outputs from Retrovirology
#155
of 1,115 outputs
Outputs of similar age
#86,973
of 401,210 outputs
Outputs of similar age from Retrovirology
#3
of 15 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,115 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 86% 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 401,210 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 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.