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.
X Demographics
Mendeley readers
Attention Score in Context
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 |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Librarian | 1 | 13% |
Student > Bachelor | 1 | 13% |
Student > Doctoral Student | 1 | 13% |
Student > Master | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
Nursing and Health Professions | 1 | 13% |
Medicine and Dentistry | 1 | 13% |
Unknown | 5 | 63% |
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
#15,153,715
of 23,306,612 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,255
of 2,024 outputs
Outputs of similar age
#263,853
of 508,288 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#22
of 61 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 508,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 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 55% of its contemporaries.