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Integrative Pathway Analysis of SNP and Metabolite Data Using a Hierarchical Structural Component Model

Overview of attention for article published in Frontiers in Genetics, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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Citations

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3 Dimensions

Readers on

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Title
Integrative Pathway Analysis of SNP and Metabolite Data Using a Hierarchical Structural Component Model
Published in
Frontiers in Genetics, March 2022
DOI 10.3389/fgene.2022.814412
Pubmed ID
Authors

Taeyeong Jung, Youngae Jung, Min Kyong Moon, Oran Kwon, Geum-Sook Hwang, Taesung Park

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Professor 1 10%
Student > Master 1 10%
Student > Bachelor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Mathematics 1 10%
Nursing and Health Professions 1 10%
Earth and Planetary Sciences 1 10%
Unknown 3 30%
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 25 April 2022.
All research outputs
#15,165,154
of 24,079,942 outputs
Outputs from Frontiers in Genetics
#4,210
of 12,919 outputs
Outputs of similar age
#221,242
of 429,884 outputs
Outputs of similar age from Frontiers in Genetics
#195
of 863 outputs
Altmetric has tracked 24,079,942 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,919 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 63% 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 429,884 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 863 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 72% of its contemporaries.