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X Demographics
Mendeley readers
Attention Score in Context
Title |
Graph theory approach to determine configurations of multidentate and high coverage adsorbates for heterogeneous catalysis
|
---|---|
Published in |
npj Computational Materials, June 2020
|
DOI | 10.1038/s41524-020-0345-2 |
Authors |
Siddharth Deshpande, Tristan Maxson, Jeffrey Greeley |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 45% |
United Kingdom | 1 | 5% |
Ireland | 1 | 5% |
Singapore | 1 | 5% |
India | 1 | 5% |
Norway | 1 | 5% |
Unknown | 6 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 11 | 55% |
Members of the public | 9 | 45% |
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 | 28 | 30% |
Researcher | 16 | 17% |
Student > Bachelor | 8 | 9% |
Student > Master | 6 | 6% |
Student > Doctoral Student | 3 | 3% |
Other | 10 | 11% |
Unknown | 22 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Chemical Engineering | 23 | 25% |
Chemistry | 13 | 14% |
Engineering | 10 | 11% |
Materials Science | 7 | 8% |
Computer Science | 3 | 3% |
Other | 9 | 10% |
Unknown | 28 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 03 October 2022.
All research outputs
#2,418,189
of 25,639,676 outputs
Outputs from npj Computational Materials
#157
of 1,108 outputs
Outputs of similar age
#65,974
of 435,101 outputs
Outputs of similar age from npj Computational Materials
#14
of 68 outputs
Altmetric has tracked 25,639,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,108 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 85% 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 435,101 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 84% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.