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Dove Medical Press

A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning

Overview of attention for article published in Cancer Management and Research, April 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
5 Mendeley
Title
A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning
Published in
Cancer Management and Research, April 2022
DOI 10.2147/cmar.s342658
Pubmed ID
Authors

Xiangliang Liu, Yuguang Li, Wei Ji, Kaiwen Zheng, Jin Lu, Yixin Zhao, Wenxin Zhang, Mingyang Liu, Jiuwei Cui, Wei Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Unknown 4 80%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 April 2022.
All research outputs
#16,576,329
of 25,182,110 outputs
Outputs from Cancer Management and Research
#697
of 2,066 outputs
Outputs of similar age
#244,603
of 437,181 outputs
Outputs of similar age from Cancer Management and Research
#22
of 58 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,066 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 61% 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 437,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.