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GAP-Seq: a method for identification of DNA palindromes

Overview of attention for article published in BMC Genomics, May 2014
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Title
GAP-Seq: a method for identification of DNA palindromes
Published in
BMC Genomics, May 2014
DOI 10.1186/1471-2164-15-394
Pubmed ID
Authors

Hui Yang, Natalia Volfovsky, Alison Rattray, Xiongfong Chen, Hisashi Tanaka, Jeffrey Strathern

Abstract

Closely spaced long inverted repeats, also known as DNA palindromes, can undergo intrastrand annealing to form DNA hairpins. The ability to form these hairpins results in genome instability, difficulties in maintaining clones in Escherichia coli and major problems for most DNA sequencing approaches. Because of their role in genomic instability and gene amplification in some human cancers, it is important to develop systematic approaches to detect and characterize DNA palindromes.

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X Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Student > Master 4 17%
Researcher 4 17%
Student > Ph. D. Student 4 17%
Lecturer 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 42%
Biochemistry, Genetics and Molecular Biology 5 21%
Chemical Engineering 1 4%
Unspecified 1 4%
Computer Science 1 4%
Other 2 8%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2015.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from BMC Genomics
#6,674
of 10,637 outputs
Outputs of similar age
#132,645
of 226,264 outputs
Outputs of similar age from BMC Genomics
#102
of 196 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 226,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.