REDI for Binned Data: A Random Empirical Distribution Imputation Method for Estimating Continuous Incomes
Sociological Methodology, July 2022
Molly M. King
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|Members of the public||8||67%|
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|Readers by professional status||Count||As %|
|Student > Ph. D. Student||2||40%|
|Student > Master||1||20%|
|Readers by discipline||Count||As %|
|Economics, Econometrics and Finance||2||40%|
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 03 August 2022.
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Altmetric has tracked 24,203,404 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 74% 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 423,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.