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High-throughput sequence identification of gene coding variants within alcohol-related QTLs

Overview of attention for article published in Mammalian Genome, February 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
20 Mendeley
connotea
1 Connotea
Title
High-throughput sequence identification of gene coding variants within alcohol-related QTLs
Published in
Mammalian Genome, February 2014
DOI 10.1007/s00335-001-1001-x
Pubmed ID
Authors

Marissa A. Ehringer, Jessica Thompson, Otakuye Conroy, Yan Xu, Fan Yang, Jennifer Canniff, Mary Beeson, Lena Gordon, Beth Bennett, Thomas E. Johnson, James M. Sikela

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Germany 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 4 20%
Professor 3 15%
Student > Master 2 10%
Student > Bachelor 2 10%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 40%
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Environmental Science 1 5%
Decision Sciences 1 5%
Other 1 5%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 April 2004.
All research outputs
#7,480,713
of 22,867,327 outputs
Outputs from Mammalian Genome
#318
of 1,126 outputs
Outputs of similar age
#74,750
of 224,007 outputs
Outputs of similar age from Mammalian Genome
#25
of 87 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 24th percentile – i.e., 24% 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 224,007 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 53% of its contemporaries.
We're also able to compare this research output to 87 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.