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Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models

Overview of attention for article published in Frontiers in Genetics, November 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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14 Dimensions

Readers on

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33 Mendeley
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Title
Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models
Published in
Frontiers in Genetics, November 2021
DOI 10.3389/fgene.2021.771092
Pubmed ID
Authors

Somayah Albaradei, Mahmut Uludag, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 9%
Student > Bachelor 2 6%
Lecturer 2 6%
Student > Postgraduate 2 6%
Student > Ph. D. Student 2 6%
Other 4 12%
Unknown 18 55%
Readers by discipline Count As %
Computer Science 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unspecified 1 3%
Other 3 9%
Unknown 20 61%
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 03 December 2021.
All research outputs
#20,783,805
of 26,388,722 outputs
Outputs from Frontiers in Genetics
#7,066
of 13,911 outputs
Outputs of similar age
#317,296
of 446,005 outputs
Outputs of similar age from Frontiers in Genetics
#349
of 794 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,911 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 40th percentile – i.e., 40% 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 446,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 794 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.