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Development and Validation of a Novel Risk Stratification Model for Cancer-Specific Survival in Diffuse Large B-Cell Lymphoma

Overview of attention for article published in Frontiers in oncology, January 2021
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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10 Mendeley
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Title
Development and Validation of a Novel Risk Stratification Model for Cancer-Specific Survival in Diffuse Large B-Cell Lymphoma
Published in
Frontiers in oncology, January 2021
DOI 10.3389/fonc.2020.582567
Pubmed ID
Authors

Qiaofeng Zhong, Yuankai Shi

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 20%
Student > Bachelor 2 20%
Student > Ph. D. Student 2 20%
Researcher 2 20%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Business, Management and Accounting 1 10%
Agricultural and Biological Sciences 1 10%
Nursing and Health Professions 1 10%
Sports and Recreations 1 10%
Other 1 10%
Unknown 2 20%
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 02 February 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from Frontiers in oncology
#15,926
of 22,433 outputs
Outputs of similar age
#452,839
of 523,384 outputs
Outputs of similar age from Frontiers in oncology
#446
of 707 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 523,384 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 707 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.