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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
29 tweeters
patent
1 patent

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
70 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 29 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 9 13%
Student > Bachelor 8 11%
Student > Master 5 7%
Professor 3 4%
Other 11 16%
Unknown 23 33%
Readers by discipline Count As %
Chemistry 19 27%
Computer Science 10 14%
Engineering 5 7%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 5 7%
Unknown 25 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 November 2022.
All research outputs
#1,210,630
of 23,043,346 outputs
Outputs from Journal of Cheminformatics
#73
of 842 outputs
Outputs of similar age
#34,074
of 419,221 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 17 outputs
Altmetric has tracked 23,043,346 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 842 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 91% 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 419,221 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 91% of its contemporaries.
We're also able to compare this research output to 17 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 70% of its contemporaries.