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Whole Methylome Analysis by Ultra-Deep Sequencing Using Two-Base Encoding

Overview of attention for article published in PLOS ONE, February 2010
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Mentioned by

patent
3 patents

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
163 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Whole Methylome Analysis by Ultra-Deep Sequencing Using Two-Base Encoding
Published in
PLOS ONE, February 2010
DOI 10.1371/journal.pone.0009320
Pubmed ID
Authors

Christina A. Bormann Chung, Victoria L. Boyd, Kevin J. McKernan, Yutao Fu, Cinna Monighetti, Heather E. Peckham, Melissa Barker

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 4 2%
Brazil 2 1%
Japan 2 1%
Belgium 2 1%
Italy 1 <1%
Australia 1 <1%
Netherlands 1 <1%
China 1 <1%
Other 0 0%
Unknown 144 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 40%
Student > Ph. D. Student 32 20%
Student > Master 15 9%
Professor > Associate Professor 14 9%
Student > Bachelor 7 4%
Other 25 15%
Unknown 4 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 65%
Biochemistry, Genetics and Molecular Biology 29 18%
Medicine and Dentistry 8 5%
Computer Science 2 1%
Neuroscience 2 1%
Other 6 4%
Unknown 10 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 July 2019.
All research outputs
#7,566,705
of 23,079,238 outputs
Outputs from PLOS ONE
#90,807
of 196,790 outputs
Outputs of similar age
#35,047
of 94,666 outputs
Outputs of similar age from PLOS ONE
#354
of 668 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 196,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 49th percentile – i.e., 49% 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 94,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 668 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.