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Exact solutions to the nonlinear equation in traffic congestion

Overview of attention for article published in Advances in Continuous and Discrete Models, February 2020
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About this Attention Score

  • Among the highest-scoring outputs from this source (#46 of 188)

Mentioned by

twitter
1 X user

Citations

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3 Dimensions

Readers on

mendeley
3 Mendeley
Title
Exact solutions to the nonlinear equation in traffic congestion
Published in
Advances in Continuous and Discrete Models, February 2020
DOI 10.1186/s13662-020-2538-x
Authors

Cheng Li, Damin Cao, Qing Du

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Bachelor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Nursing and Health Professions 1 33%
Unknown 2 67%
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 29 May 2022.
All research outputs
#17,304,155
of 25,401,381 outputs
Outputs from Advances in Continuous and Discrete Models
#46
of 188 outputs
Outputs of similar age
#298,791
of 476,637 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#2
of 4 outputs
Altmetric has tracked 25,401,381 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 476,637 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 4 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.