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X Demographics
Mendeley readers
Attention Score in Context
Title |
Evolutionary Inverse Material Identification: Bespoke Characterization of Soft Materials Using a Metaheuristic Algorithm
|
---|---|
Published in |
Frontiers in Robotics and AI, January 2022
|
DOI | 10.3389/frobt.2021.790571 |
Pubmed ID | |
Authors |
Michele Di Lecce, Onaizah Onaizah, Peter Lloyd, James H. Chandler, Pietro Valdastri |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Student > Bachelor | 2 | 13% |
Unknown | 10 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 31% |
Physics and Astronomy | 1 | 6% |
Unknown | 10 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 January 2022.
All research outputs
#16,561,500
of 25,155,561 outputs
Outputs from Frontiers in Robotics and AI
#987
of 1,736 outputs
Outputs of similar age
#285,036
of 519,283 outputs
Outputs of similar age from Frontiers in Robotics and AI
#66
of 95 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 519,283 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.