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Identification, characterization and comparative genomics of chimpanzee endogenous retroviruses

Overview of attention for article published in Genome Biology, June 2006
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
14 X users
facebook
3 Facebook pages
video
5 YouTube creators

Citations

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44 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
1 CiteULike
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Title
Identification, characterization and comparative genomics of chimpanzee endogenous retroviruses
Published in
Genome Biology, June 2006
DOI 10.1186/gb-2006-7-6-r51
Pubmed ID
Authors

Nalini Polavarapu, Nathan J Bowen, John F McDonald

Abstract

Retrotransposons, the most abundant and widespread class of eukaryotic transposable elements, are believed to play a significant role in mutation and disease and to have contributed significantly to the evolution of genome structure and function. The recent sequencing of the chimpanzee genome is providing an unprecedented opportunity to study the functional significance of these elements in two closely related primate species and to better evaluate their role in primate evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 7%
United States 2 3%
France 2 3%
Brazil 1 1%
Canada 1 1%
Germany 1 1%
Iran, Islamic Republic of 1 1%
New Zealand 1 1%
Spain 1 1%
Other 1 1%
Unknown 60 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 33%
Student > Ph. D. Student 15 20%
Professor 7 9%
Professor > Associate Professor 7 9%
Student > Doctoral Student 5 7%
Other 14 18%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 54%
Computer Science 13 17%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 3 4%
Environmental Science 2 3%
Other 4 5%
Unknown 3 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 31 August 2023.
All research outputs
#2,798,096
of 25,481,734 outputs
Outputs from Genome Biology
#2,169
of 4,480 outputs
Outputs of similar age
#6,127
of 88,255 outputs
Outputs of similar age from Genome Biology
#8
of 27 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 51% 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 88,255 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 93% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.