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Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models

Overview of attention for article published in Maritime Economics & Logistics, April 2000
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About this Attention Score

  • Among the highest-scoring outputs from this source (#42 of 140)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
70 Mendeley
Title
Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models
Published in
Maritime Economics & Logistics, April 2000
DOI 10.1057/ijme.2000.9
Authors

Theo Notteboom, Chris Coeck, Julien Van Den Broeck

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Denmark 1 1%
Brazil 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Student > Master 10 14%
Student > Doctoral Student 8 11%
Researcher 4 6%
Student > Bachelor 4 6%
Other 12 17%
Unknown 17 24%
Readers by discipline Count As %
Economics, Econometrics and Finance 16 23%
Business, Management and Accounting 14 20%
Engineering 12 17%
Computer Science 2 3%
Mathematics 1 1%
Other 5 7%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 September 2017.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Maritime Economics & Logistics
#42
of 140 outputs
Outputs of similar age
#13,853
of 40,970 outputs
Outputs of similar age from Maritime Economics & Logistics
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 140 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 44th percentile – i.e., 44% 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 40,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them