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Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

Overview of attention for article published in BMC Medical Research Methodology, March 2021
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
31 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
278 Dimensions

Readers on

mendeley
424 Mendeley
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Title
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions
Published in
BMC Medical Research Methodology, March 2021
DOI 10.1186/s12874-021-01235-8
Pubmed ID
Authors

Andrea L. Schaffer, Timothy A. Dobbins, Sallie-Anne Pearson

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 424 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 424 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 13%
Researcher 46 11%
Student > Master 46 11%
Student > Bachelor 25 6%
Other 16 4%
Other 59 14%
Unknown 178 42%
Readers by discipline Count As %
Medicine and Dentistry 40 9%
Computer Science 21 5%
Nursing and Health Professions 18 4%
Environmental Science 16 4%
Social Sciences 15 4%
Other 109 26%
Unknown 205 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 01 February 2024.
All research outputs
#1,152,525
of 25,401,381 outputs
Outputs from BMC Medical Research Methodology
#118
of 2,281 outputs
Outputs of similar age
#32,060
of 452,563 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 62 outputs
Altmetric has tracked 25,401,381 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 452,563 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 92% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.