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Data quality assessment and subsampling strategies to correct distributional bias in prevalence studies

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
13 Mendeley
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Title
Data quality assessment and subsampling strategies to correct distributional bias in prevalence studies
Published in
BMC Medical Research Methodology, April 2021
DOI 10.1186/s12874-021-01277-y
Pubmed ID
Authors

A. D’Ambrosio, J. Garlasco, F. Quattrocolo, C. Vicentini, C. M. Zotti

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 15%
Student > Master 2 15%
Student > Postgraduate 1 8%
Unspecified 1 8%
Unknown 7 54%
Readers by discipline Count As %
Computer Science 2 15%
Environmental Science 2 15%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2021.
All research outputs
#13,748,377
of 23,308,124 outputs
Outputs from BMC Medical Research Methodology
#1,319
of 2,056 outputs
Outputs of similar age
#204,542
of 437,141 outputs
Outputs of similar age from BMC Medical Research Methodology
#43
of 56 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 437,141 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 51% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.