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A Framework for Visualizing Study Designs and Data Observability in Electronic Health Record Data

Overview of attention for article published in Clinical Epidemiology, April 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
15 Mendeley
Title
A Framework for Visualizing Study Designs and Data Observability in Electronic Health Record Data
Published in
Clinical Epidemiology, April 2022
DOI 10.2147/clep.s358583
Pubmed ID
Authors

Shirley V Wang, Sebastian Schneeweiss

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Master 2 13%
Other 2 13%
Student > Bachelor 1 7%
Unknown 6 40%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 20%
Agricultural and Biological Sciences 2 13%
Medicine and Dentistry 2 13%
Immunology and Microbiology 1 7%
Environmental Science 1 7%
Other 0 0%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 May 2022.
All research outputs
#6,232,478
of 23,312,088 outputs
Outputs from Clinical Epidemiology
#234
of 734 outputs
Outputs of similar age
#124,796
of 442,640 outputs
Outputs of similar age from Clinical Epidemiology
#8
of 27 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 67% 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 442,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 27 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 70% of its contemporaries.