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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
|
|---|---|
| Published in |
Reliability Engineering & System Safety, February 2023
|
| DOI | 10.1016/j.ress.2022.108900 |
| Authors |
Yanwen Xu, Sara Kohtz, Jessica Boakye, Paolo Gardoni, Pingfeng Wang |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Canada | 1 | 10% |
| Chile | 1 | 10% |
| Spain | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 22% |
| Unspecified | 11 | 12% |
| Student > Master | 7 | 8% |
| Researcher | 5 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 7 | 8% |
| Unknown | 35 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 26 | 29% |
| Unspecified | 11 | 12% |
| Computer Science | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 41 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 August 2023.
All research outputs
#4,997,425
of 24,891,087 outputs
Outputs from Reliability Engineering & System Safety
#67
of 802 outputs
Outputs of similar age
#100,655
of 462,080 outputs
Outputs of similar age from Reliability Engineering & System Safety
#2
of 14 outputs
Altmetric has tracked 24,891,087 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 802 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 462,080 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.