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Estimating enrichment of repetitive elements from high-throughput sequence data

Overview of attention for article published in Genome Biology, June 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
260 Mendeley
citeulike
12 CiteULike
connotea
2 Connotea
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Title
Estimating enrichment of repetitive elements from high-throughput sequence data
Published in
Genome Biology, June 2010
DOI 10.1186/gb-2010-11-6-r69
Pubmed ID
Authors

Daniel S Day, Lovelace J Luquette, Peter J Park, Peter V Kharchenko

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 4%
Germany 3 1%
Canada 3 1%
Brazil 3 1%
United Kingdom 3 1%
Sweden 2 <1%
Russia 2 <1%
Australia 1 <1%
Hong Kong 1 <1%
Other 8 3%
Unknown 224 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 86 33%
Student > Ph. D. Student 69 27%
Student > Master 18 7%
Professor 15 6%
Professor > Associate Professor 13 5%
Other 42 16%
Unknown 17 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 144 55%
Biochemistry, Genetics and Molecular Biology 58 22%
Computer Science 9 3%
Medicine and Dentistry 7 3%
Immunology and Microbiology 6 2%
Other 16 6%
Unknown 20 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2022.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from Genome Biology
#3,393
of 4,467 outputs
Outputs of similar age
#35,801
of 103,900 outputs
Outputs of similar age from Genome Biology
#19
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 103,900 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% 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 is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.