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Methods for Measuring the Time of Transfer from Pediatric to Adult Care for Chronic Conditions Using Administrative Data: A Scoping Review

Overview of attention for article published in Clinical Epidemiology, June 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
19 Mendeley
Title
Methods for Measuring the Time of Transfer from Pediatric to Adult Care for Chronic Conditions Using Administrative Data: A Scoping Review
Published in
Clinical Epidemiology, June 2020
DOI 10.2147/clep.s256846
Pubmed ID
Authors

Rayzel Shulman, Eyal Cohen, Eric I Benchimol, Meranda Nakhla

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 11%
Student > Postgraduate 2 11%
Other 1 5%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 10 53%
Readers by discipline Count As %
Medicine and Dentistry 4 21%
Nursing and Health Professions 3 16%
Biochemistry, Genetics and Molecular Biology 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 9 47%
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 07 July 2020.
All research outputs
#6,700,299
of 24,889,544 outputs
Outputs from Clinical Epidemiology
#255
of 776 outputs
Outputs of similar age
#134,362
of 402,969 outputs
Outputs of similar age from Clinical Epidemiology
#10
of 27 outputs
Altmetric has tracked 24,889,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. 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 402,969 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 66% 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 66% of its contemporaries.