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Convolutional neural network based on SMILES representation of compounds for detecting chemical motif

Overview of attention for article published in BMC Bioinformatics, December 2018
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
23 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
1 CiteULike
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Title
Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
Published in
BMC Bioinformatics, December 2018
DOI 10.1186/s12859-018-2523-5
Pubmed ID
Authors

Maya Hirohara, Yutaka Saito, Yuki Koda, Kengo Sato, Yasubumi Sakakibara

Twitter Demographics

The data shown below were collected from the profiles of 23 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Student > Master 22 15%
Researcher 20 14%
Student > Bachelor 17 12%
Student > Doctoral Student 5 3%
Other 13 9%
Unknown 40 28%
Readers by discipline Count As %
Computer Science 26 18%
Chemistry 24 17%
Biochemistry, Genetics and Molecular Biology 14 10%
Engineering 8 6%
Chemical Engineering 6 4%
Other 23 16%
Unknown 44 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 05 April 2021.
All research outputs
#1,201,163
of 19,001,205 outputs
Outputs from BMC Bioinformatics
#250
of 6,494 outputs
Outputs of similar age
#39,455
of 403,039 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 415 outputs
Altmetric has tracked 19,001,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,494 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 particularly well, scoring higher than 96% 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 403,039 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 415 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.