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A machine learning platform for the discovery of materials

Overview of attention for article published in Journal of Cheminformatics, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 786)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
11 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
31 Mendeley
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Title
A machine learning platform for the discovery of materials
Published in
Journal of Cheminformatics, May 2021
DOI 10.1186/s13321-021-00518-y
Pubmed ID
Authors

Carl E. Belle, Vural Aksakalli, Salvy P. Russo

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 5 16%
Student > Master 3 10%
Student > Bachelor 2 6%
Professor 1 3%
Other 2 6%
Unknown 12 39%
Readers by discipline Count As %
Chemistry 4 13%
Materials Science 4 13%
Engineering 3 10%
Physics and Astronomy 3 10%
Computer Science 2 6%
Other 2 6%
Unknown 13 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 25 June 2021.
All research outputs
#660,745
of 21,418,190 outputs
Outputs from Journal of Cheminformatics
#17
of 786 outputs
Outputs of similar age
#17,599
of 349,345 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 21,418,190 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 97% 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 349,345 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 94% 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