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Adjusting for measurement error in baseline prognostic biomarkers included in a time-to-event analysis: a joint modelling approach

Overview of attention for article published in BMC Medical Research Methodology, December 2013
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Mentioned by

twitter
4 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
57 Mendeley
citeulike
1 CiteULike
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Title
Adjusting for measurement error in baseline prognostic biomarkers included in a time-to-event analysis: a joint modelling approach
Published in
BMC Medical Research Methodology, December 2013
DOI 10.1186/1471-2288-13-146
Pubmed ID
Authors

Michael J Crowther, Paul C Lambert, Keith R Abrams

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Vietnam 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 33%
Student > Ph. D. Student 9 16%
Other 4 7%
Professor > Associate Professor 3 5%
Student > Master 3 5%
Other 6 11%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 19 33%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Mathematics 3 5%
Economics, Econometrics and Finance 3 5%
Nursing and Health Professions 2 4%
Other 6 11%
Unknown 20 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 March 2019.
All research outputs
#13,214,842
of 22,997,544 outputs
Outputs from BMC Medical Research Methodology
#1,232
of 2,027 outputs
Outputs of similar age
#163,946
of 308,586 outputs
Outputs of similar age from BMC Medical Research Methodology
#17
of 27 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,027 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 38th percentile – i.e., 38% 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 308,586 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.