↓ Skip to main content

Assessing the agreement of biomarker data in the presence of left-censoring

Overview of attention for article published in BMC Nephrology, September 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Assessing the agreement of biomarker data in the presence of left-censoring
Published in
BMC Nephrology, September 2014
DOI 10.1186/1471-2369-15-144
Pubmed ID
Authors

Uthumporn Domthong, Chirag R Parikh, Paul L Kimmel, Vernon M Chinchilli, the Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury (ASSESS-AKI) Consortium

Abstract

In many clinical biomarker studies, Lin's concordance correlation coefficient (CCC) is commonly used to assess the level of agreement of a biomarker measured under two different conditions. However, measurement of a specific biomarker typically cannot provide accurate numerical values below the lower limit of detection (LLD) of the assay, which results in left-censored data. Most researchers discard the data below the LLD or apply simple data imputation methods in the presence of left-censored data, such as replacing values below the LLD with a fixed number less than or equal to the LLD. This is not statistically optimal, because it often leads to biased estimates and overestimates the precision.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
Researcher 3 23%
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Other 1 8%
Unspecified 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Mathematics 2 15%
Agricultural and Biological Sciences 2 15%
Unspecified 1 8%
Psychology 1 8%
Other 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2014.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from BMC Nephrology
#1,866
of 2,462 outputs
Outputs of similar age
#169,454
of 237,864 outputs
Outputs of similar age from BMC Nephrology
#44
of 49 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,462 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 11th percentile – i.e., 11% 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 237,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.