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A novel macro model of traffic flow with the consideration of anticipation optimal velocity

Overview of attention for article published in Physica A, March 2014
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Mentioned by

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1 X user

Citations

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65 Dimensions

Readers on

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9 Mendeley
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Title
A novel macro model of traffic flow with the consideration of anticipation optimal velocity
Published in
Physica A, March 2014
DOI 10.1016/j.physa.2013.12.015
Authors

G.H. Peng, W. Song, Y.J. Peng, S.H. Wang

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Other 1 11%
Student > Doctoral Student 1 11%
Lecturer 1 11%
Professor 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Engineering 5 56%
Materials Science 1 11%
Environmental Science 1 11%
Unknown 2 22%
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 December 2013.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Physica A
#1,889
of 3,939 outputs
Outputs of similar age
#143,032
of 236,354 outputs
Outputs of similar age from Physica A
#37
of 157 outputs
Altmetric has tracked 25,374,917 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 3,939 research outputs from this source. They receive a mean Attention Score of 3.3. 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 236,354 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 157 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.