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Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2022
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Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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24 Mendeley
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Title
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection
Published in
BMC Medical Informatics and Decision Making, July 2022
DOI 10.1186/s12911-022-01937-z
Pubmed ID
Authors

Anaram Yaghoobi Notash, Aidin Yaghoobi Notash, Zahra Omidi, Shahpar Haghighat

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 8%
Student > Bachelor 1 4%
Librarian 1 4%
Professor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 18 75%
Readers by discipline Count As %
Nursing and Health Professions 1 4%
Decision Sciences 1 4%
Energy 1 4%
Medicine and Dentistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 19 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 26 July 2022.
All research outputs
#19,400,321
of 23,868,920 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,620
of 2,049 outputs
Outputs of similar age
#305,636
of 419,519 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#38
of 55 outputs
Altmetric has tracked 23,868,920 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,049 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 419,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.