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A comprehensive analysis of the history of DFT based on the bibliometric method RPYS

Overview of attention for article published in Journal of Cheminformatics, November 2019
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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 (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
93 Mendeley
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Title
A comprehensive analysis of the history of DFT based on the bibliometric method RPYS
Published in
Journal of Cheminformatics, November 2019
DOI 10.1186/s13321-019-0395-y
Pubmed ID
Authors

Robin Haunschild, Andreas Barth, Bernie French

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Student > Master 11 12%
Student > Bachelor 9 10%
Researcher 8 9%
Librarian 3 3%
Other 5 5%
Unknown 39 42%
Readers by discipline Count As %
Chemistry 21 23%
Materials Science 7 8%
Physics and Astronomy 7 8%
Social Sciences 3 3%
Chemical Engineering 2 2%
Other 8 9%
Unknown 45 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 October 2020.
All research outputs
#3,530,425
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#347
of 891 outputs
Outputs of similar age
#82,611
of 464,805 outputs
Outputs of similar age from Journal of Cheminformatics
#8
of 19 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 60% 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 464,805 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.