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DECIMER: towards deep learning for chemical image recognition

Overview of attention for article published in Journal of Cheminformatics, October 2020
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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 (84th percentile)

Mentioned by

blogs
1 blog
twitter
32 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
48 Mendeley
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Title
DECIMER: towards deep learning for chemical image recognition
Published in
Journal of Cheminformatics, October 2020
DOI 10.1186/s13321-020-00469-w
Pubmed ID
Authors

Kohulan Rajan, Achim Zielesny, Christoph Steinbeck

Twitter Demographics

The data shown below were collected from the profiles of 32 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Bachelor 7 15%
Researcher 6 13%
Student > Master 4 8%
Student > Postgraduate 3 6%
Other 8 17%
Unknown 13 27%
Readers by discipline Count As %
Chemistry 13 27%
Computer Science 8 17%
Engineering 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 2 4%
Other 4 8%
Unknown 15 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 28 September 2021.
All research outputs
#1,034,009
of 19,839,988 outputs
Outputs from Journal of Cheminformatics
#68
of 745 outputs
Outputs of similar age
#36,507
of 392,823 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 72 outputs
Altmetric has tracked 19,839,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 90% 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 392,823 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 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.