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Mendeley readers
Attention Score in Context
Title |
Analytical validation of whole exome and whole genome sequencing for clinical applications
|
---|---|
Published in |
BMC Medical Genomics, April 2014
|
DOI | 10.1186/1755-8794-7-20 |
Pubmed ID | |
Authors |
Michael D Linderman, Tracy Brandt, Lisa Edelmann, Omar Jabado, Yumi Kasai, Ruth Kornreich, Milind Mahajan, Hardik Shah, Andrew Kasarskis, Eric E Schadt |
Abstract |
Whole exome and genome sequencing (WES/WGS) is now routinely offered as a clinical test by a growing number of laboratories. As part of the test design process each laboratory must determine the performance characteristics of the platform, test and informatics pipeline. This report documents one such characterization of WES/WGS. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 21% |
United Kingdom | 2 | 14% |
Singapore | 1 | 7% |
Germany | 1 | 7% |
France | 1 | 7% |
Unknown | 6 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 71% |
Scientists | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
United Kingdom | 4 | 2% |
Germany | 2 | <1% |
Brazil | 2 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
France | 1 | <1% |
New Zealand | 1 | <1% |
Australia | 1 | <1% |
Other | 2 | <1% |
Unknown | 213 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 67 | 29% |
Student > Ph. D. Student | 36 | 15% |
Other | 29 | 12% |
Student > Master | 28 | 12% |
Professor | 14 | 6% |
Other | 32 | 14% |
Unknown | 27 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 85 | 36% |
Biochemistry, Genetics and Molecular Biology | 58 | 25% |
Medicine and Dentistry | 30 | 13% |
Computer Science | 14 | 6% |
Engineering | 7 | 3% |
Other | 8 | 3% |
Unknown | 31 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 28 March 2023.
All research outputs
#1,832,273
of 25,584,565 outputs
Outputs from BMC Medical Genomics
#75
of 2,452 outputs
Outputs of similar age
#17,826
of 242,097 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 37 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,452 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 96% 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 242,097 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 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.