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Propensity Score Methods in Health Technology Assessment: Principles, Extended Applications, and Recent Advances

Overview of attention for article published in Frontiers in Pharmacology, September 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

policy
1 policy source
twitter
16 X users
q&a
1 Q&A thread

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
176 Mendeley
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Title
Propensity Score Methods in Health Technology Assessment: Principles, Extended Applications, and Recent Advances
Published in
Frontiers in Pharmacology, September 2019
DOI 10.3389/fphar.2019.00973
Pubmed ID
Authors

M Sanni Ali, Daniel Prieto-Alhambra, Luciane Cruz Lopes, Dandara Ramos, Nivea Bispo, Maria Y. Ichihara, Julia M. Pescarini, Elizabeth Williamson, Rosemeire L. Fiaccone, Mauricio L. Barreto, Liam Smeeth

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 176 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 18%
Student > Ph. D. Student 20 11%
Student > Master 18 10%
Other 10 6%
Student > Bachelor 9 5%
Other 29 16%
Unknown 59 34%
Readers by discipline Count As %
Medicine and Dentistry 33 19%
Social Sciences 10 6%
Economics, Econometrics and Finance 9 5%
Engineering 8 5%
Mathematics 8 5%
Other 40 23%
Unknown 68 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 August 2023.
All research outputs
#2,283,966
of 24,527,858 outputs
Outputs from Frontiers in Pharmacology
#923
of 18,560 outputs
Outputs of similar age
#47,044
of 347,584 outputs
Outputs of similar age from Frontiers in Pharmacology
#28
of 400 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,560 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% 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 347,584 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 86% of its contemporaries.
We're also able to compare this research output to 400 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 93% of its contemporaries.