| Title |
Human Digital Twin (HDT) Driven Human-Cyber-Physical Systems: Key Technologies and Applications
|
|---|---|
| Published in |
Chinese Journal of Mechanical Engineering, February 2022
|
| DOI | 10.1186/s10033-022-00680-w |
| Authors |
Baicun Wang, Huiying Zhou, Geng Yang, Xingyu Li, Huayong Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 13% |
| Student > Master | 7 | 9% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 36 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 23% |
| Computer Science | 13 | 16% |
| Business, Management and Accounting | 3 | 4% |
| Design | 2 | 3% |
| Medicine and Dentistry | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 39 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 November 2022.
All research outputs
#3,836,251
of 23,053,169 outputs
Outputs from Chinese Journal of Mechanical Engineering
#7
of 54 outputs
Outputs of similar age
#85,112
of 436,704 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#1
of 1 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 54 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 85% 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 436,704 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 79% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them