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Research on a novel minimum-risk model for uncertain orienteering problem based on uncertainty theory

Overview of attention for article published in Soft Computing, January 2019
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Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
7 Mendeley
Title
Research on a novel minimum-risk model for uncertain orienteering problem based on uncertainty theory
Published in
Soft Computing, January 2019
DOI 10.1007/s00500-018-03699-1
Authors

Jian Wang, Jiansheng Guo, Mingfa Zheng, Zheng MuRong, Zhengxin Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Doctoral Student 2 29%
Student > Bachelor 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Engineering 2 29%
Unknown 2 29%
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 22 March 2019.
All research outputs
#16,060,819
of 23,839,820 outputs
Outputs from Soft Computing
#258
of 465 outputs
Outputs of similar age
#269,917
of 441,625 outputs
Outputs of similar age from Soft Computing
#4
of 11 outputs
Altmetric has tracked 23,839,820 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 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 25th percentile – i.e., 25% 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 441,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.