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Implementation of Cloud based Next Generation Sequencing data analysis in a clinical laboratory

Overview of attention for article published in BMC Research Notes, May 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
4 CiteULike
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Title
Implementation of Cloud based Next Generation Sequencing data analysis in a clinical laboratory
Published in
BMC Research Notes, May 2014
DOI 10.1186/1756-0500-7-314
Pubmed ID
Authors

Getiria Onsongo, Jesse Erdmann, Michael D Spears, John Chilton, Kenneth B Beckman, Adam Hauge, Sophia Yohe, Matthew Schomaker, Matthew Bower, Kevin A T Silverstein, Bharat Thyagarajan

Abstract

The introduction of next generation sequencing (NGS) has revolutionized molecular diagnostics, though several challenges remain limiting the widespread adoption of NGS testing into clinical practice. One such difficulty includes the development of a robust bioinformatics pipeline that can handle the volume of data generated by high-throughput sequencing in a cost-effective manner. Analysis of sequencing data typically requires a substantial level of computing power that is often cost-prohibitive to most clinical diagnostics laboratories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Brazil 2 2%
China 2 2%
United Kingdom 2 2%
Sweden 1 1%
Germany 1 1%
Finland 1 1%
Canada 1 1%
Unknown 68 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 30%
Other 14 17%
Student > Ph. D. Student 11 14%
Professor > Associate Professor 8 10%
Student > Master 7 9%
Other 11 14%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 33%
Computer Science 17 21%
Biochemistry, Genetics and Molecular Biology 9 11%
Medicine and Dentistry 8 10%
Nursing and Health Professions 3 4%
Other 10 12%
Unknown 7 9%
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 03 October 2014.
All research outputs
#8,026,760
of 25,703,943 outputs
Outputs from BMC Research Notes
#1,219
of 4,524 outputs
Outputs of similar age
#71,962
of 240,722 outputs
Outputs of similar age from BMC Research Notes
#34
of 103 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,524 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 72% 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 240,722 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 69% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.