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Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

Overview of attention for article published in BMC Medical Research Methodology, April 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 (79th percentile)

Mentioned by

twitter
13 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R
Published in
BMC Medical Research Methodology, April 2021
DOI 10.1186/s12874-021-01252-7
Pubmed ID
Authors

Carsten Oliver Schmidt, Stephan Struckmann, Cornelia Enzenbach, Achim Reineke, Jürgen Stausberg, Stefan Damerow, Marianne Huebner, Börge Schmidt, Willi Sauerbrei, Adrian Richter

Twitter Demographics

The data shown below were collected from the profiles of 13 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 17%
Student > Master 3 17%
Student > Ph. D. Student 2 11%
Professor 1 6%
Lecturer > Senior Lecturer 1 6%
Other 0 0%
Unknown 8 44%
Readers by discipline Count As %
Computer Science 3 17%
Engineering 2 11%
Psychology 1 6%
Mathematics 1 6%
Social Sciences 1 6%
Other 2 11%
Unknown 8 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 October 2021.
All research outputs
#2,906,510
of 19,040,944 outputs
Outputs from BMC Medical Research Methodology
#461
of 1,721 outputs
Outputs of similar age
#67,539
of 327,673 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 19,040,944 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 327,673 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 79% 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