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Developing Criteria for Health Economic Quality Evaluation Tool

Overview of attention for article published in Value in Health (Elsevier Science), April 2023
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
35 X users

Readers on

mendeley
22 Mendeley
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Title
Developing Criteria for Health Economic Quality Evaluation Tool
Published in
Value in Health (Elsevier Science), April 2023
DOI 10.1016/j.jval.2023.04.004
Pubmed ID
Authors

David D Kim, Lauren A Do, Patricia G Synnott, Tara A Lavelle, Lisa A Prosser, John B Wong, Peter J Neumann

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 9%
Student > Master 2 9%
Student > Doctoral Student 2 9%
Student > Postgraduate 1 5%
Other 1 5%
Other 2 9%
Unknown 12 55%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 14%
Unspecified 2 9%
Medicine and Dentistry 2 9%
Economics, Econometrics and Finance 1 5%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 13 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 24 July 2023.
All research outputs
#1,668,354
of 25,394,764 outputs
Outputs from Value in Health (Elsevier Science)
#179
of 4,141 outputs
Outputs of similar age
#33,587
of 415,634 outputs
Outputs of similar age from Value in Health (Elsevier Science)
#1
of 30 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,141 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. 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 415,634 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 91% of its contemporaries.
We're also able to compare this research output to 30 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.