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Immunoseq: the identification of functionally relevant variants through targeted capture and sequencing of active regulatory regions in human immune cells

Overview of attention for article published in BMC Medical Genomics, September 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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31 Dimensions

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41 Mendeley
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Title
Immunoseq: the identification of functionally relevant variants through targeted capture and sequencing of active regulatory regions in human immune cells
Published in
BMC Medical Genomics, September 2016
DOI 10.1186/s12920-016-0220-7
Pubmed ID
Authors

Andréanne Morin, Tony Kwan, Bing Ge, Louis Letourneau, Maria Ban, Karolina Tandre, Maxime Caron, Johanna K. Sandling, Jonas Carlsson, Guillaume Bourque, Catherine Laprise, Alexandre Montpetit, Ann-Christine Syvanen, Lars Ronnblom, Stephen J. Sawcer, Mark G. Lathrop, Tomi Pastinen

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Master 7 17%
Student > Ph. D. Student 5 12%
Other 5 12%
Student > Bachelor 4 10%
Other 5 12%
Unknown 6 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 34%
Agricultural and Biological Sciences 7 17%
Medicine and Dentistry 5 12%
Veterinary Science and Veterinary Medicine 2 5%
Nursing and Health Professions 1 2%
Other 5 12%
Unknown 7 17%
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 15 September 2016.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from BMC Medical Genomics
#1,373
of 2,488 outputs
Outputs of similar age
#221,482
of 335,674 outputs
Outputs of similar age from BMC Medical Genomics
#28
of 46 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,488 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 34th percentile – i.e., 34% 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 335,674 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.