Title |
An Efficient Adaptive Hierarchical Sliding Mode Control Strategy Using Neural Networks for 3D Overhead Cranes
|
---|---|
Published in |
Machine Intelligence Research, April 2019
|
DOI | 10.1007/s11633-019-1174-y |
Authors |
Viet-Anh Le, Hai-Xuan Le, Linh Nguyen, Minh-Xuan Phan |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
China | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 20% |
Student > Master | 1 | 10% |
Unknown | 7 | 70% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 30% |
Unknown | 7 | 70% |
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 25 April 2019.
All research outputs
#20,234,005
of 25,732,188 outputs
Outputs from Machine Intelligence Research
#203
of 468 outputs
Outputs of similar age
#265,974
of 365,819 outputs
Outputs of similar age from Machine Intelligence Research
#4
of 10 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 468 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 48th percentile – i.e., 48% 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 365,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.