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Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases

Overview of attention for article published in BMC Medical Research Methodology, November 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Readers on

mendeley
50 Mendeley
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Title
Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases
Published in
BMC Medical Research Methodology, November 2021
DOI 10.1186/s12874-021-01434-3
Pubmed ID
Authors

Patricia Biedermann, Rose Ong, Alexander Davydov, Alexandra Orlova, Philip Solovyev, Hong Sun, Graham Wetherill, Monika Brand, Eva-Maria Didden

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Unspecified 4 8%
Student > Ph. D. Student 4 8%
Student > Master 4 8%
Other 3 6%
Other 8 16%
Unknown 20 40%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Computer Science 6 12%
Unspecified 4 8%
Engineering 3 6%
Mathematics 2 4%
Other 7 14%
Unknown 20 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 November 2021.
All research outputs
#6,589,079
of 23,310,485 outputs
Outputs from BMC Medical Research Methodology
#993
of 2,057 outputs
Outputs of similar age
#133,563
of 440,489 outputs
Outputs of similar age from BMC Medical Research Methodology
#29
of 60 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 50% 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 440,489 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 69% of its contemporaries.
We're also able to compare this research output to 60 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 50% of its contemporaries.