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Genome-Wide Association Analysis With a 50K Transcribed Gene SNP-Chip Identifies QTL Affecting Muscle Yield in Rainbow Trout

Overview of attention for article published in Frontiers in Genetics, September 2018
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Citations

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Title
Genome-Wide Association Analysis With a 50K Transcribed Gene SNP-Chip Identifies QTL Affecting Muscle Yield in Rainbow Trout
Published in
Frontiers in Genetics, September 2018
DOI 10.3389/fgene.2018.00387
Pubmed ID
Authors

Mohamed Salem, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, Timothy D. Leeds

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 8 15%
Student > Ph. D. Student 8 15%
Other 4 7%
Student > Doctoral Student 3 5%
Other 8 15%
Unknown 16 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 42%
Biochemistry, Genetics and Molecular Biology 5 9%
Environmental Science 3 5%
Medicine and Dentistry 3 5%
Social Sciences 2 4%
Other 2 4%
Unknown 17 31%
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 05 October 2018.
All research outputs
#15,545,785
of 23,103,903 outputs
Outputs from Frontiers in Genetics
#5,532
of 12,152 outputs
Outputs of similar age
#215,881
of 342,003 outputs
Outputs of similar age from Frontiers in Genetics
#126
of 220 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,152 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% 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 342,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.