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Correction to: joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis

Overview of attention for article published in BMC Medical Research Methodology, April 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
1 Mendeley
Title
Correction to: joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
Published in
BMC Medical Research Methodology, April 2018
DOI 10.1186/s12874-018-0489-7
Pubmed ID
Authors

Maria Sudell, Ruwanthi Kolamunnage-Dona, Catrin Tudur-Smith

Abstract

Following publication of the original article [1] the authors reported that reference 15 (Cella et al.) had been incorrectly replaced with a duplicate of Brombin et al. during publication.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 April 2018.
All research outputs
#5,814,924
of 23,041,514 outputs
Outputs from BMC Medical Research Methodology
#826
of 2,030 outputs
Outputs of similar age
#101,357
of 329,124 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 19 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 55% 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 329,124 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 68% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.