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ChronQC: a quality control monitoring system for clinical next generation sequencing

Overview of attention for article published in Bioinformatics, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Citations

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Readers on

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19 Mendeley
Title
ChronQC: a quality control monitoring system for clinical next generation sequencing
Published in
Bioinformatics, December 2017
DOI 10.1093/bioinformatics/btx843
Pubmed ID
Authors

Nilesh R Tawari, Justine Jia Wen Seow, Dharuman Perumal, Jack L Ow, Shimin Ang, Arun George Devasia, Pauline C Ng

Abstract

ChronQC is a quality control (QC) tracking system for clinical implementation of next-generation sequencing (NGS). ChronQC generates time series plots for various QC metrics to allow comparison of current runs to historical runs. ChronQC has multiple features for tracking QC data including Westgard rules for clinical validity, laboratory-defined thresholds, and historical observations within a specified time period. Users can record their notes and corrective actions directly onto the plots for long-term recordkeeping. ChronQC facilitates regular monitoring of clinical NGS to enable adherence to high quality clinical standards. ChronQC is freely available on GitHub (https://github.com/nilesh-tawari/ChronQC), Docker (https://hub.docker.com/r/nileshtawari/chronqc/) and the Python Package Index. ChronQC is implemented in Python and runs on all common operating systems (Windows, Linux, and Mac OS X). [email protected] or [email protected].

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Other 4 21%
Student > Ph. D. Student 3 16%
Student > Bachelor 1 5%
Professor 1 5%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 26%
Computer Science 4 21%
Agricultural and Biological Sciences 4 21%
Medicine and Dentistry 1 5%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 May 2018.
All research outputs
#5,877,479
of 23,577,761 outputs
Outputs from Bioinformatics
#3,858
of 9,035 outputs
Outputs of similar age
#114,204
of 444,791 outputs
Outputs of similar age from Bioinformatics
#74
of 188 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 58% 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 444,791 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 74% of its contemporaries.
We're also able to compare this research output to 188 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 59% of its contemporaries.