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Noise-pollution efficiency analysis of European railways: A network DEA model

Overview of attention for article published in Transportation Research: Part D, September 2021
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Mentioned by

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2 X users

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mendeley
60 Mendeley
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Article details
Title
Noise-pollution efficiency analysis of European railways: A network DEA model
Published in
Transportation Research: Part D, September 2021
DOI 10.1016/j.trd.2021.102980
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Doctoral Student 3 5%
Student > Master 3 5%
Lecturer 2 3%
Unspecified 1 2%
Other 4 7%
Unknown 32 53%
Readers by discipline
Readers by discipline Count As %
Engineering 8 13%
Economics, Econometrics and Finance 6 10%
Decision Sciences 4 7%
Mathematics 3 5%
Business, Management and Accounting 3 5%
Other 3 5%
Unknown 33 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 August 2021.
All research outputs
#23,315,189
of 34,383,983 outputs
Outputs from Transportation Research: Part D
#1,560
of 1,993 outputs
Outputs of similar age
#266,348
of 461,325 outputs
Outputs of similar age from Transportation Research: Part D
#43
of 56 outputs
Altmetric has tracked 34,383,983 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,993 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 19th percentile – i.e., 19% 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 461,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.