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Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in…

Overview of attention for article published in BMC Medical Research Methodology, April 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in Korea
Published in
BMC Medical Research Methodology, April 2021
DOI 10.1186/s12874-021-01257-2
Pubmed ID
Authors

Sanghee Lee, Yoon Jung Chang, Hyunsoon Cho

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 %
Student > Bachelor 2 20%
Researcher 2 20%
Student > Master 1 10%
Unknown 5 50%
Readers by discipline Count As %
Arts and Humanities 1 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Psychology 1 10%
Medicine and Dentistry 1 10%
Other 0 0%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 April 2021.
All research outputs
#5,894,208
of 23,302,246 outputs
Outputs from BMC Medical Research Methodology
#837
of 2,054 outputs
Outputs of similar age
#129,240
of 433,708 outputs
Outputs of similar age from BMC Medical Research Methodology
#30
of 57 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 433,708 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 69% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.