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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
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Readers on

mendeley
1 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 2 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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
#15,089,659
of 19,546,162 outputs
Outputs from BMC Medical Genomics
#683
of 1,035 outputs
Outputs of similar age
#219,661
of 335,285 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 3 outputs
Altmetric has tracked 19,546,162 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 1,035 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 28th percentile – i.e., 28% 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 335,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them