↓ Skip to main content

Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
2 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
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort
Published in
BMC Medical Informatics and Decision Making, December 2021
DOI 10.1186/s12911-021-01711-7
Pubmed ID
Authors

Lauren A. Beste, Xuefei Zhang, Grace L. Su, Tony Van, George N. Ioannou, Brandon Oselio, Monica Tincopa, Boang Liu, Amit G. Singal, Ji Zhu, Akbar K. Waljee

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%

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 February 2022.
All research outputs
#12,383,125
of 21,044,876 outputs
Outputs from BMC Medical Informatics and Decision Making
#942
of 1,841 outputs
Outputs of similar age
#202,679
of 450,973 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#91
of 211 outputs
Altmetric has tracked 21,044,876 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 1,841 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 46th percentile – i.e., 46% 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 450,973 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 53% of its contemporaries.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.