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Multi-Phenotype Association Decomposition: Unraveling Complex Gene-Phenotype Relationships

Overview of attention for article published in Frontiers in Genetics, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Multi-Phenotype Association Decomposition: Unraveling Complex Gene-Phenotype Relationships
Published in
Frontiers in Genetics, May 2019
DOI 10.3389/fgene.2019.00417
Pubmed ID
Authors

Deborah Weighill, Piet Jones, Carissa Bleker, Priya Ranjan, Manesh Shah, Nan Zhao, Madhavi Martin, Stephen DiFazio, David Macaya-Sanz, Jeremy Schmutz, Avinash Sreedasyam, Timothy Tschaplinski, Gerald Tuskan, Daniel Jacobson

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 16 25%
Student > Master 4 6%
Student > Doctoral Student 3 5%
Student > Bachelor 2 3%
Other 9 14%
Unknown 11 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 30%
Biochemistry, Genetics and Molecular Biology 15 24%
Engineering 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Environmental Science 2 3%
Other 7 11%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 May 2020.
All research outputs
#3,294,874
of 23,146,350 outputs
Outputs from Frontiers in Genetics
#992
of 12,189 outputs
Outputs of similar age
#71,216
of 350,442 outputs
Outputs of similar age from Frontiers in Genetics
#44
of 301 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,189 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 350,442 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.