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Massively-parallel sequencing of genes on a single chromosome: a comparison of solution hybrid selection and flow sorting

Overview of attention for article published in BMC Genomics, April 2013
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Title
Massively-parallel sequencing of genes on a single chromosome: a comparison of solution hybrid selection and flow sorting
Published in
BMC Genomics, April 2013
DOI 10.1186/1471-2164-14-253
Pubmed ID
Authors

Jamie K Teer, Jennifer J Johnston, Sarah L Anzick, Marbin Pineda, Gary Stone, NISC Comparative Sequencing Program1, Paul S Meltzer, James C Mullikin, Leslie G Biesecker

Abstract

Targeted capture, combined with massively-parallel sequencing, is a powerful technique that allows investigation of specific portions of the genome for less cost than whole genome sequencing. Several methods have been developed, and improvements have resulted in commercial products targeting the human or mouse exonic regions (the exome). In some cases it is desirable to custom-target other regions of the genome, either to reduce the amount of sequence that is targeted or to capture regions that are not targeted by commercial kits. It is important to understand the advantages, limitations, and complexity of a given capture method before embarking on a targeted sequencing experiment.

X Demographics

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

Geographical breakdown

Country Count As %
Switzerland 1 2%
Netherlands 1 2%
Chile 1 2%
Australia 1 2%
China 1 2%
United States 1 2%
Unknown 38 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 34%
Student > Ph. D. Student 8 18%
Student > Doctoral Student 5 11%
Professor > Associate Professor 3 7%
Other 2 5%
Other 8 18%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 64%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Unknown 5 11%
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 16 April 2013.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#134,273
of 209,602 outputs
Outputs of similar age from BMC Genomics
#121
of 176 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 209,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 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.