Title |
Advanced Data Collection and Analysis in Data-Driven Manufacturing Process
|
---|---|
Published in |
Chinese Journal of Mechanical Engineering, May 2020
|
DOI | 10.1186/s10033-020-00459-x |
Authors |
Ke Xu, Yingguang Li, Changqing Liu, Xu Liu, Xiaozhong Hao, James Gao, Paul G. Maropoulos |
X Demographics
The data shown below were collected from the profiles of 32 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 | 5 | 16% |
United Kingdom | 4 | 13% |
Chile | 1 | 3% |
Germany | 1 | 3% |
South Africa | 1 | 3% |
Kenya | 1 | 3% |
Norway | 1 | 3% |
India | 1 | 3% |
France | 1 | 3% |
Other | 4 | 13% |
Unknown | 12 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 29 | 91% |
Scientists | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 207 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 11% |
Student > Doctoral Student | 19 | 9% |
Researcher | 18 | 9% |
Student > Bachelor | 17 | 8% |
Student > Master | 17 | 8% |
Other | 26 | 13% |
Unknown | 88 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 73 | 35% |
Business, Management and Accounting | 10 | 5% |
Unspecified | 10 | 5% |
Computer Science | 9 | 4% |
Materials Science | 2 | <1% |
Other | 11 | 5% |
Unknown | 92 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 22 October 2022.
All research outputs
#1,736,839
of 25,611,630 outputs
Outputs from Chinese Journal of Mechanical Engineering
#2
of 65 outputs
Outputs of similar age
#49,070
of 428,703 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#2
of 3 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 65 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 428,703 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 88% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.