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Assessing causal treatment effect estimation when using large observational datasets

Overview of attention for article published in BMC Medical Research Methodology, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Assessing causal treatment effect estimation when using large observational datasets
Published in
BMC Medical Research Methodology, November 2019
DOI 10.1186/s12874-019-0858-x
Authors

E. R. John, K. R. Abrams, C. E. Brightling, N. A. Sheehan

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 8 18%
Student > Ph. D. Student 6 13%
Lecturer 3 7%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 13 29%
Social Sciences 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Nursing and Health Professions 3 7%
Computer Science 3 7%
Other 9 20%
Unknown 8 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 November 2019.
All research outputs
#3,246,927
of 20,376,777 outputs
Outputs from BMC Medical Research Methodology
#544
of 1,818 outputs
Outputs of similar age
#67,218
of 289,658 outputs
Outputs of similar age from BMC Medical Research Methodology
#78
of 196 outputs
Altmetric has tracked 20,376,777 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,818 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 gotten more attention than average, scoring higher than 70% 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 289,658 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 76% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.