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Attention Score in Context
Title |
A genome-wide search for common SNP x SNP interactions on the risk of venous thrombosis
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Published in |
BMC Medical Genomics, March 2013
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DOI | 10.1186/1471-2350-14-36 |
Pubmed ID | |
Authors |
Nicolas Greliche, Marine Germain, Jean-Charles Lambert, William Cohen, Marion Bertrand, Anne-Marie Dupuis, Luc Letenneur, Mark Lathrop, Philippe Amouyel, Pierre-Emmanuel Morange, David-Alexandre Trégouët |
Abstract |
Venous Thrombosis (VT) is a common multifactorial disease with an estimated heritability between 35% and 60%. Known genetic polymorphisms identified so far only explain ~5% of the genetic variance of the disease. This study was aimed to investigate whether pair-wise interactions between common single nucleotide polymorphisms (SNPs) could exist and modulate the risk of VT. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Iceland | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 33 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Researcher | 9 | 26% |
Student > Master | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 2 | 6% |
Other | 7 | 20% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 31% |
Agricultural and Biological Sciences | 10 | 29% |
Biochemistry, Genetics and Molecular Biology | 5 | 14% |
Immunology and Microbiology | 1 | 3% |
Mathematics | 1 | 3% |
Other | 2 | 6% |
Unknown | 5 | 14% |
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 11 February 2024.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#501
of 2,444 outputs
Outputs of similar age
#59,380
of 210,236 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 78% 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 210,236 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 70% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.