| Title |
Fragmentation Energy-Saving Theory of Full Face Rock Tunnel Boring Machine Disc Cutters
|
|---|---|
| Published in |
Chinese Journal of Mechanical Engineering, June 2017
|
| DOI | 10.1007/s10033-017-0159-4 |
| Authors |
Zhao-Huang Zhang, Guo-Fang Gong, Qing-Feng Gao, Fei Sun |
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 % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Researcher | 2 | 15% |
| Professor | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 2 | 15% |
| Engineering | 2 | 15% |
| Earth and Planetary Sciences | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Design | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |
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 15 April 2019.
All research outputs
#15,569,433
of 23,142,049 outputs
Outputs from Chinese Journal of Mechanical Engineering
#31
of 54 outputs
Outputs of similar age
#199,293
of 317,152 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#3
of 5 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 54 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 317,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.