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Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics

Overview of attention for article published in BMC Genomics, 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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
Published in
BMC Genomics, May 2019
DOI 10.1186/s12864-019-5772-4
Pubmed ID
Authors

Azam Yazdani, Akram Yazdani, Sarah H. Elsea, Daniel J. Schaid, Michael R. Kosorok, Gita Dangol, Ahmad Samiei

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Doctoral Student 3 10%
Researcher 3 10%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 6 21%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 28%
Agricultural and Biological Sciences 3 10%
Engineering 2 7%
Mathematics 2 7%
Medicine and Dentistry 2 7%
Other 3 10%
Unknown 9 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 June 2019.
All research outputs
#2,880,133
of 18,455,180 outputs
Outputs from BMC Genomics
#1,208
of 9,589 outputs
Outputs of similar age
#60,133
of 278,415 outputs
Outputs of similar age from BMC Genomics
#4
of 21 outputs
Altmetric has tracked 18,455,180 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,589 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 87% 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 278,415 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 78% of its contemporaries.
We're also able to compare this research output to 21 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.