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Procedural fairness in lotteries assigning initial roles in a dynamic setting

Overview of attention for article published in Experimental Economics, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

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4 X users

Citations

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24 Dimensions

Readers on

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24 Mendeley
Title
Procedural fairness in lotteries assigning initial roles in a dynamic setting
Published in
Experimental Economics, November 2015
DOI 10.1007/s10683-015-9469-5
Authors

Gianluca Grimalda, Anirban Kar, Eugenio Proto

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 38%
Student > Bachelor 4 17%
Researcher 4 17%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 3 13%
Unknown 2 8%
Readers by discipline Count As %
Economics, Econometrics and Finance 10 42%
Business, Management and Accounting 4 17%
Psychology 3 13%
Engineering 2 8%
Social Sciences 1 4%
Other 1 4%
Unknown 3 13%
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 29 August 2020.
All research outputs
#13,216,846
of 22,833,393 outputs
Outputs from Experimental Economics
#229
of 337 outputs
Outputs of similar age
#129,748
of 282,576 outputs
Outputs of similar age from Experimental Economics
#1
of 3 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 32nd percentile – i.e., 32% 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 282,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 3 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