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Learning Causal Biological Networks With the Principle of Mendelian Randomization

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

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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4 X users

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mendeley
89 Mendeley
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Title
Learning Causal Biological Networks With the Principle of Mendelian Randomization
Published in
Frontiers in Genetics, May 2019
DOI 10.3389/fgene.2019.00460
Pubmed ID
Authors

Bahadur Badsha, Audrey Qiuyan Fu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 18%
Student > Ph. D. Student 15 17%
Student > Master 10 11%
Student > Doctoral Student 6 7%
Professor > Associate Professor 5 6%
Other 10 11%
Unknown 27 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 24%
Computer Science 13 15%
Agricultural and Biological Sciences 13 15%
Medicine and Dentistry 3 3%
Engineering 3 3%
Other 7 8%
Unknown 29 33%
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 06 June 2019.
All research outputs
#13,411,687
of 23,148,322 outputs
Outputs from Frontiers in Genetics
#3,015
of 12,189 outputs
Outputs of similar age
#169,433
of 350,452 outputs
Outputs of similar age from Frontiers in Genetics
#108
of 262 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,189 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% 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 350,452 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 50% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.