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A method for generating synthetic longitudinal health data

Overview of attention for article published in BMC Medical Research Methodology, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 2,084)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
76 news outlets

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
A method for generating synthetic longitudinal health data
Published in
BMC Medical Research Methodology, March 2023
DOI 10.1186/s12874-023-01869-w
Pubmed ID
Authors

Lucy Mosquera, Khaled El Emam, Lei Ding, Vishal Sharma, Xue Hua Zhang, Samer El Kababji, Chris Carvalho, Brian Hamilton, Dan Palfrey, Linglong Kong, Bei Jiang, Dean T. Eurich

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 14%
Student > Ph. D. Student 3 14%
Researcher 2 10%
Student > Master 1 5%
Unknown 12 57%
Readers by discipline Count As %
Unspecified 3 14%
Mathematics 2 10%
Environmental Science 1 5%
Business, Management and Accounting 1 5%
Computer Science 1 5%
Other 0 0%
Unknown 13 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 559. 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 21 April 2023.
All research outputs
#37,088
of 23,578,918 outputs
Outputs from BMC Medical Research Methodology
#2
of 2,084 outputs
Outputs of similar age
#739
of 333,327 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 43 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 99% 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 333,327 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.