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X Demographics
Mendeley readers
Attention Score in Context
Title |
Discovery of Cellular Unit Cells With High Natural Frequency and Energy Absorption Capabilities by an Inverse Machine Learning Framework
|
---|---|
Published in |
Frontiers in Mechanical Engineering, November 2021
|
DOI | 10.3389/fmech.2021.779098 |
Authors |
Adithya Challapalli, John Konlan, Dhrumil Patel, Guoqiang Li |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
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 | 6 | 38% |
Lecturer | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Unspecified | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 25% |
Materials Science | 2 | 13% |
Mathematics | 1 | 6% |
Arts and Humanities | 1 | 6% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 38% |
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 29 July 2022.
All research outputs
#14,072,172
of 22,986,950 outputs
Outputs from Frontiers in Mechanical Engineering
#105
of 498 outputs
Outputs of similar age
#230,681
of 503,934 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#2
of 22 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 498 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% 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 503,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.