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A Simple Bayesian Method for Evaluating Whether Data From Patients With Rheumatic Diseases Who Have Been Under Chronic Hydroxychloroquine Medication Since Before the COVID-19 Outbreak Can Speak to…

Overview of attention for article published in Frontiers in Medicine, August 2020
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2 X users

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52 Mendeley
Title
A Simple Bayesian Method for Evaluating Whether Data From Patients With Rheumatic Diseases Who Have Been Under Chronic Hydroxychloroquine Medication Since Before the COVID-19 Outbreak Can Speak to Hydroxychloroquine's Prophylactic Effect Against Infection With SARS-CoV-2
Published in
Frontiers in Medicine, August 2020
DOI 10.3389/fmed.2020.00490
Pubmed ID
Authors

Serban C. Musca

Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Other 8 15%
Student > Bachelor 5 10%
Researcher 4 8%
Student > Master 4 8%
Librarian 3 6%
Other 9 17%
Unknown 19 37%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Nursing and Health Professions 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Environmental Science 1 2%
Unspecified 1 2%
Other 4 8%
Unknown 21 40%
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 04 June 2023.
All research outputs
#16,133,206
of 23,934,148 outputs
Outputs from Frontiers in Medicine
#3,348
of 6,279 outputs
Outputs of similar age
#251,705
of 400,922 outputs
Outputs of similar age from Frontiers in Medicine
#134
of 211 outputs
Altmetric has tracked 23,934,148 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 35th percentile – i.e., 35% 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 400,922 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.