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GNE: a deep learning framework for gene network inference by aggregating biological information

Overview of attention for article published in BMC Systems Biology, April 2019
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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
5 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
73 Mendeley
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Title
GNE: a deep learning framework for gene network inference by aggregating biological information
Published in
BMC Systems Biology, April 2019
DOI 10.1186/s12918-019-0694-y
Pubmed ID
Authors

Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake

Twitter Demographics

The data shown below were collected from the profiles of 5 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 14%
Researcher 10 14%
Student > Ph. D. Student 10 14%
Student > Master 9 12%
Other 6 8%
Other 11 15%
Unknown 17 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 33%
Computer Science 11 15%
Agricultural and Biological Sciences 6 8%
Engineering 3 4%
Business, Management and Accounting 3 4%
Other 6 8%
Unknown 20 27%

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 19 April 2020.
All research outputs
#10,241,044
of 17,483,393 outputs
Outputs from BMC Systems Biology
#474
of 1,115 outputs
Outputs of similar age
#142,583
of 277,777 outputs
Outputs of similar age from BMC Systems Biology
#6
of 12 outputs
Altmetric has tracked 17,483,393 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,115 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 55% 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 277,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.