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Economics in the age of big data

Overview of attention for article published in Science, November 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Citations

dimensions_citation
390 Dimensions

Readers on

mendeley
755 Mendeley
citeulike
3 CiteULike
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Title
Economics in the age of big data
Published in
Science, November 2014
DOI 10.1126/science.1243089
Pubmed ID
Authors

Liran Einav, Jonathan Levin

Abstract

The quality and quantity of data on economic activity are expanding rapidly. Empirical research increasingly relies on newly available large-scale administrative data or private sector data that often is obtained through collaboration with private firms. Here we highlight some challenges in accessing and using these new data. We also discuss how new data sets may change the statistical methods used by economists and the types of questions posed in empirical research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 114 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 755 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
Germany 2 <1%
Switzerland 2 <1%
France 2 <1%
Italy 2 <1%
Estonia 2 <1%
China 2 <1%
Korea, Republic of 1 <1%
Brazil 1 <1%
Other 7 <1%
Unknown 725 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 203 27%
Student > Master 99 13%
Researcher 80 11%
Student > Bachelor 45 6%
Student > Doctoral Student 42 6%
Other 156 21%
Unknown 130 17%
Readers by discipline Count As %
Economics, Econometrics and Finance 213 28%
Social Sciences 85 11%
Business, Management and Accounting 84 11%
Computer Science 60 8%
Engineering 27 4%
Other 109 14%
Unknown 177 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 122. 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 17 April 2024.
All research outputs
#350,822
of 25,870,940 outputs
Outputs from Science
#9,147
of 83,363 outputs
Outputs of similar age
#3,501
of 277,559 outputs
Outputs of similar age from Science
#119
of 876 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.1. This one has done well, scoring higher than 89% 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 277,559 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 876 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.