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Attention Score in Context
Title |
An algorithm to compute the average-of-awards rule for claims problems with an application to the allocation of CO2 emissions
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Published in |
Annals of Operations Research, February 2023
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DOI | 10.1007/s10479-023-05214-8 |
Authors |
Miguel Ángel Mirás Calvo, Iago Núñez Lugilde, Carmen Quinteiro Sandomingo, Estela Sánchez-Rodríguez |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 February 2023.
All research outputs
#7,131,638
of 23,351,247 outputs
Outputs from Annals of Operations Research
#95
of 748 outputs
Outputs of similar age
#102,447
of 359,300 outputs
Outputs of similar age from Annals of Operations Research
#2
of 10 outputs
Altmetric has tracked 23,351,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 748 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 87% of its peers.
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 359,300 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 71% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.