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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applicability of Convolutional Neural Networks for Calibration of Nonlinear Dynamic Models of Structures
|
|---|---|
| Published in |
Frontiers in Built Environment, April 2022
|
| DOI | 10.3389/fbuil.2022.873546 |
| Authors |
Angela Lanning, Arash E. Zaghi, Tao Zhang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Unknown | 4 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 33% |
| Unknown | 4 | 67% |
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 07 April 2022.
All research outputs
#15,039,165
of 23,983,331 outputs
Outputs from Frontiers in Built Environment
#246
of 1,177 outputs
Outputs of similar age
#218,961
of 431,505 outputs
Outputs of similar age from Frontiers in Built Environment
#14
of 63 outputs
Altmetric has tracked 23,983,331 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 1,177 research outputs from this source. They receive a mean Attention Score of 2.9. 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 431,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.