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Dynamic Task Allocation in Multi-Robot System Based on a Team Competition Model

Overview of attention for article published in Frontiers in Neurorobotics, May 2021
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Mentioned by

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2 X users

Citations

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2 Dimensions

Readers on

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17 Mendeley
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Title
Dynamic Task Allocation in Multi-Robot System Based on a Team Competition Model
Published in
Frontiers in Neurorobotics, May 2021
DOI 10.3389/fnbot.2021.674949
Pubmed ID
Authors

Kai Jin, Pingzhong Tang, Shiteng Chen, Jianqing Peng

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Master 4 24%
Student > Ph. D. Student 2 12%
Student > Bachelor 1 6%
Other 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Engineering 9 53%
Computer Science 3 18%
Unspecified 1 6%
Unknown 4 24%
Attention Score in Context

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 05 June 2021.
All research outputs
#18,143,395
of 23,308,124 outputs
Outputs from Frontiers in Neurorobotics
#532
of 904 outputs
Outputs of similar age
#304,717
of 445,268 outputs
Outputs of similar age from Frontiers in Neurorobotics
#25
of 46 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 904 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% 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 445,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.