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NGS-Logistics: data infrastructure for efficient analysis of NGS sequence variants across multiple centers

Overview of attention for article published in BMC Bioinformatics, January 2015
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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2 Dimensions

Readers on

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7 Mendeley
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Title
NGS-Logistics: data infrastructure for efficient analysis of NGS sequence variants across multiple centers
Published in
BMC Bioinformatics, January 2015
DOI 10.1186/1471-2105-16-s2-a10
Authors

Amin Ardeshirdavani, Erika Souche, Luc Dehaspe, Jeroen Van Houdt, Joris Robert Vermeesch, Yves Moreau

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 43%
Researcher 1 14%
Lecturer > Senior Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Social Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%
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 19 June 2017.
All research outputs
#17,899,796
of 22,981,247 outputs
Outputs from BMC Bioinformatics
#5,961
of 7,308 outputs
Outputs of similar age
#243,804
of 354,063 outputs
Outputs of similar age from BMC Bioinformatics
#106
of 130 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 354,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.