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SeqBench: Integrated solution for the management and analysis of exome sequencing data

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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11 X users

Citations

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10 Dimensions

Readers on

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30 Mendeley
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2 CiteULike
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Title
SeqBench: Integrated solution for the management and analysis of exome sequencing data
Published in
BMC Research Notes, January 2014
DOI 10.1186/1756-0500-7-43
Pubmed ID
Authors

Andreas Dander, Stephan Pabinger, Michael Sperk, Maria Fischer, Gernot Stocker, Zlatko Trajanoski

Abstract

The rapid development of next generation sequencing technologies, including the recently introduced benchtop sequencers, made sequencing affordable for smaller research institutions. A widely applied method to identify causing mutations of diseases is exome sequencing, which proved to be cost-effective and time-saving.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
India 1 3%
Sweden 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 6 20%
Professor > Associate Professor 4 13%
Student > Bachelor 3 10%
Student > Postgraduate 3 10%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 40%
Computer Science 6 20%
Medicine and Dentistry 4 13%
Engineering 2 7%
Chemistry 1 3%
Other 1 3%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 September 2014.
All research outputs
#5,774,273
of 23,881,329 outputs
Outputs from BMC Research Notes
#810
of 4,300 outputs
Outputs of similar age
#65,133
of 311,341 outputs
Outputs of similar age from BMC Research Notes
#22
of 121 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 81% 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 311,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.