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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digital Twin for Monitoring In-Service Performance of Post-Tensioned Self-Centering Cross-Laminated Timber Shear Walls
|
|---|---|
| Published in |
Journal of Computing in Civil Engineering, November 2022
|
| DOI | 10.1061/(asce)cp.1943-5487.0001050 |
| Authors |
Ryan P. Longman, Yiye Xu, Qi Sun, Yelda Turkan, Mariapaola Riggio |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Lecturer | 3 | 9% |
| Student > Master | 2 | 6% |
| Professor | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 22 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 23% |
| Business, Management and Accounting | 1 | 3% |
| Social Sciences | 1 | 3% |
| Energy | 1 | 3% |
| Materials Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 22 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 November 2022.
All research outputs
#14,798,870
of 25,392,582 outputs
Outputs from Journal of Computing in Civil Engineering
#86
of 150 outputs
Outputs of similar age
#169,654
of 415,451 outputs
Outputs of similar age from Journal of Computing in Civil Engineering
#3
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 150 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 42nd percentile – i.e., 42% 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 415,451 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 58% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.