↓ Skip to main content

Pathway analysis of rare variants for the clustered phenotypes by using hierarchical structured components analysis

Overview of attention for article published in BMC Medical Genomics, July 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
10 Mendeley
Title
Pathway analysis of rare variants for the clustered phenotypes by using hierarchical structured components analysis
Published in
BMC Medical Genomics, July 2019
DOI 10.1186/s12920-019-0517-4
Pubmed ID
Authors

Sungyoung Lee, Sunmee Kim, Yongkang Kim, Bermseok Oh, Heungsun Hwang, Taesung Park

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.
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 %
Researcher 2 20%
Student > Master 2 20%
Other 1 10%
Student > Bachelor 1 10%
Unknown 4 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Medicine and Dentistry 2 20%
Psychology 1 10%
Computer Science 1 10%
Unknown 4 40%
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 13 September 2019.
All research outputs
#15,048,427
of 23,152,542 outputs
Outputs from BMC Medical Genomics
#616
of 1,240 outputs
Outputs of similar age
#202,386
of 346,562 outputs
Outputs of similar age from BMC Medical Genomics
#26
of 41 outputs
Altmetric has tracked 23,152,542 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 1,240 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 44th percentile – i.e., 44% 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 346,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.