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Use of electronic medical records (EMR) for oncology outcomes research: assessing the comparability of EMR information to patient registry and health claims data

Overview of attention for article published in Clinical Epidemiology, October 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

policy
1 policy source
twitter
2 tweeters

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
125 Mendeley
Title
Use of electronic medical records (EMR) for oncology outcomes research: assessing the comparability of EMR information to patient registry and health claims data
Published in
Clinical Epidemiology, October 2011
DOI 10.2147/clep.s23690
Pubmed ID
Authors

Fionna Mowat, Lau, Whyte, Kelsh, Legg, Engel-Nitz, Watson, Collins, Nordyke

Abstract

Electronic medical records (EMRs) are used increasingly for research in clinical oncology, epidemiology, and comparative effectiveness research (CER).

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Indonesia 1 <1%
Nigeria 1 <1%
Canada 1 <1%
Luxembourg 1 <1%
Philippines 1 <1%
Unknown 118 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 17%
Student > Master 21 17%
Researcher 18 14%
Student > Bachelor 11 9%
Other 11 9%
Other 26 21%
Unknown 17 14%
Readers by discipline Count As %
Medicine and Dentistry 42 34%
Computer Science 21 17%
Engineering 8 6%
Nursing and Health Professions 6 5%
Psychology 4 3%
Other 24 19%
Unknown 20 16%

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 30 October 2020.
All research outputs
#5,176,896
of 19,247,212 outputs
Outputs from Clinical Epidemiology
#190
of 605 outputs
Outputs of similar age
#79,202
of 330,428 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 7 outputs
Altmetric has tracked 19,247,212 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 605 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 68% 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 330,428 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.