↓ Skip to main content

Label propagation-based semi-supervised feature selection on decoding clinical phenotypes with RNA-seq data

Overview of attention for article published in BMC Medical Genomics, August 2021
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Label propagation-based semi-supervised feature selection on decoding clinical phenotypes with RNA-seq data
Published in
BMC Medical Genomics, August 2021
DOI 10.1186/s12920-021-00985-0
Pubmed ID
Authors

Xue Jiang, Miao Chen, Weichen Song, Guan Ning Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Researcher 1 17%
Unknown 4 67%
Readers by discipline Count As %
Medicine and Dentistry 1 17%
Engineering 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 September 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from BMC Medical Genomics
#815
of 1,252 outputs
Outputs of similar age
#292,510
of 429,124 outputs
Outputs of similar age from BMC Medical Genomics
#19
of 32 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,252 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 429,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.