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Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
101 Mendeley
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Title
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3284-5
Pubmed ID
Authors

Remzi Celebi, Huseyin Uyar, Erkan Yasar, Ozgur Gumus, Oguz Dikenelli, Michel Dumontier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Ph. D. Student 15 15%
Student > Master 12 12%
Student > Bachelor 6 6%
Student > Doctoral Student 4 4%
Other 12 12%
Unknown 36 36%
Readers by discipline Count As %
Computer Science 24 24%
Agricultural and Biological Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Social Sciences 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 18 18%
Unknown 40 40%
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 07 December 2023.
All research outputs
#5,383,977
of 25,223,158 outputs
Outputs from BMC Bioinformatics
#1,934
of 7,660 outputs
Outputs of similar age
#116,938
of 472,346 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 220 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 472,346 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 74% of its contemporaries.
We're also able to compare this research output to 220 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 74% of its contemporaries.