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New method for determining breast cancer recurrence-free survival using routinely collected real-world health data

Overview of attention for article published in BMC Cancer, March 2022
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1 X user

Readers on

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14 Mendeley
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Title
New method for determining breast cancer recurrence-free survival using routinely collected real-world health data
Published in
BMC Cancer, March 2022
DOI 10.1186/s12885-022-09333-6
Pubmed ID
Authors

Hyunmin Jung, Mingshan Lu, May Lynn Quan, Winson Y. Cheung, Shiying Kong, Sasha Lupichuk, Yuanchao Feng, Yuan Xu

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 11 79%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 7%
Computer Science 1 7%
Medicine and Dentistry 1 7%
Unknown 11 79%
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 18 March 2022.
All research outputs
#20,944,189
of 23,577,654 outputs
Outputs from BMC Cancer
#6,664
of 8,530 outputs
Outputs of similar age
#363,611
of 444,724 outputs
Outputs of similar age from BMC Cancer
#172
of 267 outputs
Altmetric has tracked 23,577,654 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 8,530 research outputs from this source. They receive a mean Attention Score of 4.4. 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 444,724 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 267 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.