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MOFX-DB: An Online Database of Computational Adsorption Data for Nanoporous Materials

Overview of attention for article published in Journal of Chemical & Engineering Data, January 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 1,448)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

twitter
27 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
45 Mendeley
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Title
MOFX-DB: An Online Database of Computational Adsorption Data for Nanoporous Materials
Published in
Journal of Chemical & Engineering Data, January 2023
DOI 10.1021/acs.jced.2c00583
Authors

N. Scott Bobbitt, Kaihang Shi, Benjamin J. Bucior, Haoyuan Chen, Nathaniel Tracy-Amoroso, Zhao Li, Yangzesheng Sun, Julia H. Merlin, J. Ilja Siepmann, Daniel W. Siderius, Randall Q. Snurr

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Researcher 6 13%
Student > Doctoral Student 4 9%
Other 4 9%
Student > Bachelor 3 7%
Other 5 11%
Unknown 17 38%
Readers by discipline Count As %
Chemistry 12 27%
Chemical Engineering 8 18%
Engineering 4 9%
Nursing and Health Professions 1 2%
Mathematics 1 2%
Other 2 4%
Unknown 17 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 24 February 2023.
All research outputs
#1,816,695
of 24,677,985 outputs
Outputs from Journal of Chemical & Engineering Data
#9
of 1,448 outputs
Outputs of similar age
#37,444
of 460,663 outputs
Outputs of similar age from Journal of Chemical & Engineering Data
#2
of 4 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,448 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 460,663 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.