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Evolutionary History of Mammalian Transposons Determined by Genome-Wide Defragmentation

Overview of attention for article published in PLoS Computational Biology, July 2007
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
f1000
1 research highlight platform

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
185 Mendeley
citeulike
19 CiteULike
connotea
6 Connotea
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Title
Evolutionary History of Mammalian Transposons Determined by Genome-Wide Defragmentation
Published in
PLoS Computational Biology, July 2007
DOI 10.1371/journal.pcbi.0030137
Pubmed ID
Authors

Joti Giordano, Yongchao Ge, Yevgeniy Gelfand, György Abrusán, Gary Benson, Peter E Warburton

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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
United Kingdom 6 3%
Brazil 4 2%
Germany 4 2%
Spain 3 2%
China 2 1%
Denmark 2 1%
New Zealand 1 <1%
Australia 1 <1%
Other 4 2%
Unknown 151 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 30%
Student > Ph. D. Student 49 26%
Student > Master 17 9%
Professor 13 7%
Professor > Associate Professor 10 5%
Other 27 15%
Unknown 13 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 99 54%
Biochemistry, Genetics and Molecular Biology 39 21%
Computer Science 14 8%
Engineering 4 2%
Mathematics 3 2%
Other 10 5%
Unknown 16 9%
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 26 May 2021.
All research outputs
#2,765,381
of 25,822,778 outputs
Outputs from PLoS Computational Biology
#2,432
of 9,046 outputs
Outputs of similar age
#6,331
of 79,782 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 25 outputs
Altmetric has tracked 25,822,778 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 9,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has gotten more attention than average, scoring higher than 73% 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 79,782 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 92% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.