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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Deep Learning Approach to Design and Discover Sustainable Cementitious Binders: Strategies to Learn From Small Databases and Develop Closed-form Analytical Models
|
|---|---|
| Published in |
Frontiers in Materials, January 2022
|
| DOI | 10.3389/fmats.2021.796476 |
| Authors |
Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 25% |
| Student > Ph. D. Student | 3 | 15% |
| Lecturer | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 30% |
| Materials Science | 2 | 10% |
| Unspecified | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 January 2022.
All research outputs
#17,766,929
of 22,818,766 outputs
Outputs from Frontiers in Materials
#463
of 2,448 outputs
Outputs of similar age
#339,202
of 499,544 outputs
Outputs of similar age from Frontiers in Materials
#40
of 207 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,448 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done well, scoring higher than 75% 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 499,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.