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SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
37 Mendeley
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Title
SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks
Published in
BMC Bioinformatics, January 2021
DOI 10.1186/s12859-020-03950-3
Pubmed ID
Authors

Tamer N. Jarada, Jon G. Rokne, Reda Alhajj

Twitter Demographics

The data shown below were collected from the profiles of 11 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Researcher 4 11%
Student > Doctoral Student 4 11%
Professor 2 5%
Other 4 11%
Unknown 14 38%
Readers by discipline Count As %
Computer Science 10 27%
Engineering 3 8%
Agricultural and Biological Sciences 3 8%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 2 5%
Unknown 14 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 10 February 2021.
All research outputs
#2,281,651
of 19,910,352 outputs
Outputs from BMC Bioinformatics
#786
of 6,689 outputs
Outputs of similar age
#64,179
of 403,574 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 19,910,352 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,689 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 88% 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 403,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1 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