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Links and Legibility: Making Sense of Historical U.S. Census Automated Linking Methods

Overview of attention for article published in Journal of Business & Economic Statistics, June 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Links and Legibility: Making Sense of Historical U.S. Census Automated Linking Methods
Published in
Journal of Business & Economic Statistics, June 2023
DOI 10.1080/07350015.2023.2205918
Authors

Arkadev Ghosh, Sam Il Myoung Hwang, Munir Squires

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 April 2023.
All research outputs
#7,286,869
of 25,809,966 outputs
Outputs from Journal of Business & Economic Statistics
#300
of 827 outputs
Outputs of similar age
#118,479
of 390,373 outputs
Outputs of similar age from Journal of Business & Economic Statistics
#1
of 4 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 827 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 64% 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 390,373 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 69% 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. This one has scored higher than all of them