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Probabilistic linking to enhance deterministic algorithms and reduce linkage errors in hospital administrative data

Overview of attention for article published in BMJ Health & Care Informatics, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
60 Mendeley
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Title
Probabilistic linking to enhance deterministic algorithms and reduce linkage errors in hospital administrative data
Published in
BMJ Health & Care Informatics, June 2017
DOI 10.14236/jhi.v24i2.891
Pubmed ID
Authors

Gareth Hagger-Johnson, Katie Harron, Harvey Goldstein, Rob Aldridge, Ruth Gilbert

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 10 17%
Student > Master 7 12%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 12 20%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 12 20%
Computer Science 9 15%
Social Sciences 3 5%
Nursing and Health Professions 2 3%
Business, Management and Accounting 2 3%
Other 12 20%
Unknown 20 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 November 2018.
All research outputs
#5,146,263
of 25,425,223 outputs
Outputs from BMJ Health & Care Informatics
#1
of 1 outputs
Outputs of similar age
#82,756
of 327,530 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 1 outputs
Altmetric has tracked 25,425,223 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 327,530 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 74% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them