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Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database

Overview of attention for article published in BMC Health Services Research, June 2021
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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
9 tweeters

Readers on

mendeley
4 Mendeley
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Title
Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database
Published in
BMC Health Services Research, June 2021
DOI 10.1186/s12913-021-06593-z
Pubmed ID
Authors

Havard, Alys, Manski-Nankervis, Jo-Anne, Thistlethwaite, Jill, Daniels, Benjamin, Myton, Rimma, Tu, Karen, Chidwick, Kendal

Twitter Demographics

The data shown below were collected from the profiles of 9 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Unknown 3 75%
Readers by discipline Count As %
Nursing and Health Professions 1 25%
Unknown 3 75%

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 10 June 2021.
All research outputs
#3,641,102
of 18,838,632 outputs
Outputs from BMC Health Services Research
#1,692
of 6,336 outputs
Outputs of similar age
#85,454
of 339,043 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 18,838,632 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 73% 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 339,043 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