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BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network

Overview of attention for article published in BMC Bioinformatics, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

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32 Dimensions

Readers on

mendeley
19 Mendeley
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Title
BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network
Published in
BMC Bioinformatics, June 2021
DOI 10.1186/s12859-021-04273-7
Pubmed ID
Authors

Qiang Yang, Xiaokun Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 2 11%
Lecturer 1 5%
Student > Master 1 5%
Other 1 5%
Other 0 0%
Unknown 10 53%
Readers by discipline Count As %
Computer Science 4 21%
Biochemistry, Genetics and Molecular Biology 3 16%
Agricultural and Biological Sciences 1 5%
Physics and Astronomy 1 5%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 July 2021.
All research outputs
#13,173,409
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#3,690
of 7,400 outputs
Outputs of similar age
#178,648
of 443,775 outputs
Outputs of similar age from BMC Bioinformatics
#78
of 145 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 48th percentile – i.e., 48% 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 443,775 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 59% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.