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Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer

Overview of attention for article published in EJNMMI Research, January 2021
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1 X user

Citations

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23 Dimensions

Readers on

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51 Mendeley
Title
Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer
Published in
EJNMMI Research, January 2021
DOI 10.1186/s13550-021-00751-4
Pubmed ID
Authors

Zongyao Li, Kazuhiro Kitajima, Kenji Hirata, Ren Togo, Junki Takenaka, Yasuo Miyoshi, Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama

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

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 10%
Student > Ph. D. Student 5 10%
Researcher 5 10%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 6 12%
Unknown 24 47%
Readers by discipline Count As %
Medicine and Dentistry 7 14%
Computer Science 5 10%
Unspecified 5 10%
Engineering 3 6%
Agricultural and Biological Sciences 1 2%
Other 4 8%
Unknown 26 51%
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 January 2021.
All research outputs
#20,679,788
of 23,274,744 outputs
Outputs from EJNMMI Research
#401
of 571 outputs
Outputs of similar age
#432,029
of 505,027 outputs
Outputs of similar age from EJNMMI Research
#6
of 13 outputs
Altmetric has tracked 23,274,744 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 571 research outputs from this source. They receive a mean Attention Score of 2.6. 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 505,027 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 13 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.