↓ Skip to main content

GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization

Overview of attention for article published in BMC Systems Biology, December 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
81 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
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
Published in
BMC Systems Biology, December 2018
DOI 10.1186/s12918-018-0642-2
Pubmed ID
Authors

Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 17%
Student > Master 12 15%
Student > Ph. D. Student 12 15%
Student > Bachelor 5 6%
Other 3 4%
Other 9 11%
Unknown 26 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 22%
Computer Science 13 16%
Medicine and Dentistry 5 6%
Agricultural and Biological Sciences 5 6%
Engineering 2 2%
Other 7 9%
Unknown 31 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 January 2019.
All research outputs
#6,091,187
of 24,099,692 outputs
Outputs from BMC Systems Biology
#186
of 1,133 outputs
Outputs of similar age
#118,646
of 443,547 outputs
Outputs of similar age from BMC Systems Biology
#8
of 54 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,133 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% 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 443,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.