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Statistical Challenges in Development of Prognostic Models in Diffuse Large B-Cell Lymphoma: Comparison Between Existing Models – A Systematic Review

Overview of attention for article published in Clinical Epidemiology, May 2020
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2 X users

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27 Mendeley
Title
Statistical Challenges in Development of Prognostic Models in Diffuse Large B-Cell Lymphoma: Comparison Between Existing Models – A Systematic Review
Published in
Clinical Epidemiology, May 2020
DOI 10.2147/clep.s244294
Pubmed ID
Authors

Jelena Jelicic, Thomas Stauffer Larsen, Henrik Frederiksen, Bosko Andjelic, Milos Maksimovic, Zoran Bukumiric

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Student > Ph. D. Student 3 11%
Student > Master 3 11%
Researcher 2 7%
Lecturer 2 7%
Other 4 15%
Unknown 9 33%
Readers by discipline Count As %
Medicine and Dentistry 7 26%
Nursing and Health Professions 2 7%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Arts and Humanities 1 4%
Other 4 15%
Unknown 11 41%
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 26 June 2020.
All research outputs
#18,729,433
of 23,215,490 outputs
Outputs from Clinical Epidemiology
#581
of 729 outputs
Outputs of similar age
#285,015
of 378,665 outputs
Outputs of similar age from Clinical Epidemiology
#21
of 24 outputs
Altmetric has tracked 23,215,490 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 729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 8th percentile – i.e., 8% 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 378,665 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.