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Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach

Overview of attention for article published in BMC Bioinformatics, October 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Readers on

mendeley
2 Mendeley
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Title
Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach
Published in
BMC Bioinformatics, October 2022
DOI 10.1186/s12859-022-04977-4
Pubmed ID
Authors

Zhuoran Ding, Marylyn D. Ritchie, Benjamin F. Voight, Wei-Ting Hwang

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 October 2022.
All research outputs
#15,301,231
of 23,530,272 outputs
Outputs from BMC Bioinformatics
#5,150
of 7,410 outputs
Outputs of similar age
#223,461
of 441,246 outputs
Outputs of similar age from BMC Bioinformatics
#117
of 149 outputs
Altmetric has tracked 23,530,272 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 441,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.