| Title |
Slicing and support structure generation for 3D printing directly on B-rep models
|
|---|---|
| Published in |
Visual Computing for Industry, Biomedicine, and Art, May 2019
|
| DOI | 10.1186/s42492-019-0013-x |
| Pubmed ID | |
| Authors |
Kanle Shi, Conghui Cai, Zijian Wu, Junhai Yong |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Researcher | 4 | 15% |
| Other | 2 | 7% |
| Student > Master | 2 | 7% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 48% |
| Computer Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Unknown | 11 | 41% |
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 19 May 2022.
All research outputs
#8,538,940
of 25,385,509 outputs
Outputs from Visual Computing for Industry, Biomedicine, and Art
#12
of 48 outputs
Outputs of similar age
#146,078
of 364,073 outputs
Outputs of similar age from Visual Computing for Industry, Biomedicine, and Art
#1
of 1 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 36 of them.
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 364,073 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 53% 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