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The diatomic molecular spectroscopy database

Overview of attention for article published in Journal of Cheminformatics, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
15 Mendeley
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Title
The diatomic molecular spectroscopy database
Published in
Journal of Cheminformatics, May 2020
DOI 10.1186/s13321-020-00433-8
Pubmed ID
Authors

Xiangyue Liu, Stefan Truppe, Gerard Meijer, Jesús Pérez-Ríos

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Professor 1 7%
Researcher 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Computer Science 2 13%
Physics and Astronomy 2 13%
Chemistry 2 13%
Medicine and Dentistry 1 7%
Engineering 1 7%
Other 0 0%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 October 2020.
All research outputs
#13,512,822
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#647
of 891 outputs
Outputs of similar age
#177,276
of 388,964 outputs
Outputs of similar age from Journal of Cheminformatics
#22
of 24 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 388,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.