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Quantitative analysis of artificial intelligence on liver cancer: A bibliometric analysis

Overview of attention for article published in Frontiers in oncology, February 2023
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Mentioned by

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1 X user

Readers on

mendeley
32 Mendeley
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Title
Quantitative analysis of artificial intelligence on liver cancer: A bibliometric analysis
Published in
Frontiers in oncology, February 2023
DOI 10.3389/fonc.2023.990306
Pubmed ID
Authors

Ming Xiong, Yaona Xu, Yang Zhao, Si He, Qihan Zhu, Yi Wu, Xiaofei Hu, Li Liu

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Librarian 2 6%
Lecturer 2 6%
Student > Bachelor 2 6%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Unknown 20 63%
Readers by discipline Count As %
Medicine and Dentistry 3 9%
Engineering 3 9%
Computer Science 2 6%
Business, Management and Accounting 1 3%
Design 1 3%
Other 0 0%
Unknown 22 69%
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 06 March 2023.
All research outputs
#23,734,791
of 26,419,306 outputs
Outputs from Frontiers in oncology
#16,894
of 23,127 outputs
Outputs of similar age
#372,294
of 433,192 outputs
Outputs of similar age from Frontiers in oncology
#1,237
of 1,485 outputs
Altmetric has tracked 26,419,306 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 23,127 research outputs from this source. They receive a mean Attention Score of 3.2. 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 433,192 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 1,485 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.