↓ Skip to main content

Dividing bads under additive utilities

Overview of attention for article published in Social Choice & Welfare, October 2018
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
2 Mendeley
Title
Dividing bads under additive utilities
Published in
Social Choice & Welfare, October 2018
DOI 10.1007/s00355-018-1157-x
Authors

Anna Bogomolnaia, Hervé Moulin, Fedor Sandomirskiy, Elena Yanovskaia

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Economics, Econometrics and Finance 1 50%

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 23 April 2019.
All research outputs
#10,423,321
of 13,647,261 outputs
Outputs from Social Choice & Welfare
#153
of 194 outputs
Outputs of similar age
#216,043
of 306,557 outputs
Outputs of similar age from Social Choice & Welfare
#3
of 3 outputs
Altmetric has tracked 13,647,261 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 18th percentile – i.e., 18% 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 306,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
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.