| Title |
Key Crowdsourcing Technologies for Product Design and Development
|
|---|---|
| Published in |
Machine Intelligence Research, September 2018
|
| DOI | 10.1007/s11633-018-1138-7 |
| Authors |
Xiao-Jing Niu, Sheng-Feng Qin, John Vines, Rose Wong, Hui Lu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 12% |
| Student > Bachelor | 10 | 12% |
| Student > Ph. D. Student | 8 | 10% |
| Lecturer | 6 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 41 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 16% |
| Engineering | 8 | 10% |
| Business, Management and Accounting | 7 | 9% |
| Design | 4 | 5% |
| Arts and Humanities | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 44 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 January 2021.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Machine Intelligence Research
#228
of 444 outputs
Outputs of similar age
#273,155
of 351,592 outputs
Outputs of similar age from Machine Intelligence Research
#5
of 19 outputs
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So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.