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.
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X Demographics
Mendeley readers
Attention Score in Context
| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 15% |
| Poland | 1 | 4% |
| Switzerland | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 20 | 74% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 59% |
| Members of the public | 11 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 12% |
| Unspecified | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 26 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 22% |
| Chemical Engineering | 9 | 14% |
| Unspecified | 5 | 8% |
| Engineering | 4 | 6% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 27 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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
#1,907,495
of 25,369,304 outputs
Outputs from Journal of Chemical & Engineering Data
#8
of 1,509 outputs
Outputs of similar age
#39,677
of 479,274 outputs
Outputs of similar age from Journal of Chemical & Engineering Data
#2
of 5 outputs
Altmetric has tracked 25,369,304 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 1,509 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 479,274 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.