The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Words to Matter: De novo Architected Materials Design Using Transformer Neural Networks
|
---|---|
Published in |
Frontiers in Materials, October 2021
|
DOI | 10.3389/fmats.2021.740754 |
Authors |
Zhenze Yang, Markus J. Buehler |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 20% |
United Kingdom | 1 | 7% |
India | 1 | 7% |
Unknown | 10 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 80% |
Scientists | 2 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 17% |
Student > Bachelor | 3 | 8% |
Student > Doctoral Student | 2 | 6% |
Student > Master | 2 | 6% |
Researcher | 2 | 6% |
Other | 5 | 14% |
Unknown | 16 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 19% |
Materials Science | 5 | 14% |
Computer Science | 2 | 6% |
Unspecified | 1 | 3% |
Chemistry | 1 | 3% |
Other | 3 | 8% |
Unknown | 17 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 18 December 2022.
All research outputs
#4,134,235
of 25,019,109 outputs
Outputs from Frontiers in Materials
#69
of 2,974 outputs
Outputs of similar age
#85,181
of 427,900 outputs
Outputs of similar age from Frontiers in Materials
#3
of 160 outputs
Altmetric has tracked 25,019,109 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,974 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 97% 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 427,900 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 80% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.