Title |
Benchmarking DFT-GGA calculations for the structure optimisation of neutral-framework zeotypes
|
---|---|
Published in |
Theoretical Chemistry Accounts, November 2016
|
DOI | 10.1007/s00214-016-2014-6 |
Authors |
Michael Fischer, Felix O. Evers, Filip Formalik, Adam Olejniczak |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 40% |
United States | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 21% |
Student > Ph. D. Student | 8 | 17% |
Student > Master | 6 | 13% |
Professor > Associate Professor | 4 | 8% |
Student > Bachelor | 4 | 8% |
Other | 7 | 15% |
Unknown | 9 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 14 | 29% |
Materials Science | 7 | 15% |
Chemical Engineering | 4 | 8% |
Physics and Astronomy | 3 | 6% |
Engineering | 3 | 6% |
Other | 7 | 15% |
Unknown | 10 | 21% |
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 20 March 2019.
All research outputs
#3,273,285
of 23,806,312 outputs
Outputs from Theoretical Chemistry Accounts
#19
of 581 outputs
Outputs of similar age
#55,864
of 314,041 outputs
Outputs of similar age from Theoretical Chemistry Accounts
#1
of 5 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 581 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 314,041 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them