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Losers and Pareto optimality in optimising commuting patterns

Overview of attention for article published in Urban Studies, July 2016
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

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34 Mendeley
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Title
Losers and Pareto optimality in optimising commuting patterns
Published in
Urban Studies, July 2016
DOI 10.1177/0042098015594072
Authors

Jiangping Zhou, Ying Long

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

Geographical breakdown

Country Count As %
Belgium 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 4 12%
Student > Master 4 12%
Other 2 6%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 7 21%
Readers by discipline Count As %
Social Sciences 11 32%
Design 3 9%
Economics, Econometrics and Finance 3 9%
Business, Management and Accounting 2 6%
Engineering 2 6%
Other 5 15%
Unknown 8 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 04 August 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from Urban Studies
#2,801
of 2,873 outputs
Outputs of similar age
#318,483
of 364,407 outputs
Outputs of similar age from Urban Studies
#784
of 810 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,873 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% 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 364,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 810 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.