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Solving the Evidence Interpretability Crisis in Health Technology Assessment: A Role for Mechanistic Models?

Overview of attention for article published in Frontiers in Medical Technology, February 2022
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1 X user

Citations

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27 Mendeley
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Title
Solving the Evidence Interpretability Crisis in Health Technology Assessment: A Role for Mechanistic Models?
Published in
Frontiers in Medical Technology, February 2022
DOI 10.3389/fmedt.2022.810315
Pubmed ID
Authors

Eulalie Courcelles, Jean-Pierre Boissel, Jacques Massol, Ingrid Klingmann, Riad Kahoul, Marc Hommel, Emmanuel Pham, Alexander Kulesza

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Student > Master 2 7%
Other 1 4%
Student > Ph. D. Student 1 4%
Unknown 19 70%
Readers by discipline Count As %
Medicine and Dentistry 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 19 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2022.
All research outputs
#18,716,137
of 23,197,711 outputs
Outputs from Frontiers in Medical Technology
#137
of 227 outputs
Outputs of similar age
#318,178
of 441,176 outputs
Outputs of similar age from Frontiers in Medical Technology
#17
of 25 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 227 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 441,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.