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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 (#23 of 934)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
42 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 5 12%
Student > Bachelor 3 7%
Lecturer 2 5%
Professor 2 5%
Other 5 12%
Unknown 17 40%
Readers by discipline Count As %
Materials Science 6 14%
Physics and Astronomy 4 10%
Chemistry 4 10%
Engineering 3 7%
Unspecified 2 5%
Other 5 12%
Unknown 18 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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
#857,254
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#23
of 934 outputs
Outputs of similar age
#22,759
of 439,917 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 23 outputs
Altmetric has tracked 24,903,209 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 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 439,917 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 23 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 91% of its contemporaries.