↓ Skip to main content

An analytical pipeline for identifying and mapping the integration sites of HIV and other retroviruses

Overview of attention for article published in BMC Genomics, March 2020
Altmetric Badge

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 (89th percentile)

Mentioned by

twitter
9 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
47 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An analytical pipeline for identifying and mapping the integration sites of HIV and other retroviruses
Published in
BMC Genomics, March 2020
DOI 10.1186/s12864-020-6647-4
Pubmed ID
Authors

Daria W. Wells, Shuang Guo, Wei Shao, Michael J. Bale, John M. Coffin, Stephen H. Hughes, Xiaolin Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 32%
Student > Ph. D. Student 9 19%
Professor > Associate Professor 2 4%
Student > Bachelor 2 4%
Professor 1 2%
Other 3 6%
Unknown 15 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 34%
Medicine and Dentistry 6 13%
Agricultural and Biological Sciences 4 9%
Immunology and Microbiology 3 6%
Neuroscience 1 2%
Other 0 0%
Unknown 17 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 December 2023.
All research outputs
#4,034,650
of 24,930,865 outputs
Outputs from BMC Genomics
#1,455
of 11,115 outputs
Outputs of similar age
#79,739
of 367,994 outputs
Outputs of similar age from BMC Genomics
#22
of 197 outputs
Altmetric has tracked 24,930,865 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,115 research outputs from this source. They receive a mean Attention Score of 4.8. 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 367,994 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 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.