↓ Skip to main content

A Two-Step Synthetic Control Approach for Estimating Causal Effects of Marketing Events

Overview of attention for article published in Management Science, June 2024
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
6 news outlets
twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Two-Step Synthetic Control Approach for Estimating Causal Effects of Marketing Events
Published in
Management Science, June 2024
DOI 10.1287/mnsc.2023.4878
Authors

Kathleen T. Li, Venkatesh Shankar

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 22%
Student > Postgraduate 2 22%
Professor 1 11%
Researcher 1 11%
Student > Master 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Unspecified 2 22%
Business, Management and Accounting 1 11%
Computer Science 1 11%
Economics, Econometrics and Finance 1 11%
Chemistry 1 11%
Other 0 0%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 2023.
All research outputs
#931,107
of 26,163,973 outputs
Outputs from Management Science
#186
of 3,393 outputs
Outputs of similar age
#8,242
of 208,416 outputs
Outputs of similar age from Management Science
#4
of 25 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 94% 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 208,416 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 96% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.