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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm
|
|---|---|
| Published in |
Frontiers in Robotics and AI, March 2022
|
| DOI | 10.3389/frobt.2022.843816 |
| Pubmed ID | |
| Authors |
Tingjun Lei, Chaomin Luo, Gene Eu Jan, Zhuming Bi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 3 | 8% |
| Researcher | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 24 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 24% |
| Computer Science | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Materials Science | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 24 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2022.
All research outputs
#15,219,039
of 23,393,453 outputs
Outputs from Frontiers in Robotics and AI
#924
of 1,549 outputs
Outputs of similar age
#234,780
of 441,183 outputs
Outputs of similar age from Frontiers in Robotics and AI
#69
of 111 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,549 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 441,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.