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CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: “Impact of surgical modality choice”

Overview of attention for article published in World Journal of Surgical Oncology, May 2021
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Mentioned by

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1 X user

Citations

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16 Dimensions

Readers on

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26 Mendeley
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Title
CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: “Impact of surgical modality choice”
Published in
World Journal of Surgical Oncology, May 2021
DOI 10.1186/s12957-021-02259-6
Pubmed ID
Authors

Ayten Kayi Cangir, Kaan Orhan, Yusuf Kahya, Hilal Özakıncı, Betül Bahar Kazak, Buse Mine Konuk Balcı, Duru Karasoy, Çağlar Uzun

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Lecturer 1 4%
Professor 1 4%
Other 2 8%
Unknown 14 54%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Computer Science 3 12%
Engineering 3 12%
Neuroscience 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 13 50%
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 16 May 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from World Journal of Surgical Oncology
#1,607
of 2,081 outputs
Outputs of similar age
#365,455
of 440,505 outputs
Outputs of similar age from World Journal of Surgical Oncology
#45
of 59 outputs
Altmetric has tracked 23,308,124 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 2,081 research outputs from this source. They receive a mean Attention Score of 2.1. 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 440,505 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 59 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.