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Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know?

Overview of attention for article published in Insights into Imaging, March 2021
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
37 Mendeley
Title
Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know?
Published in
Insights into Imaging, March 2021
DOI 10.1186/s13244-021-00977-9
Pubmed ID
Authors

Zhi-Min Zou, De-Hua Chang, Hui Liu, Yu-Dong Xiao

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Professor 2 5%
Student > Master 1 3%
Other 1 3%
Unknown 24 65%
Readers by discipline Count As %
Engineering 4 11%
Medicine and Dentistry 4 11%
Computer Science 3 8%
Social Sciences 2 5%
Immunology and Microbiology 1 3%
Other 2 5%
Unknown 21 57%
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 22 September 2023.
All research outputs
#21,946,049
of 24,486,486 outputs
Outputs from Insights into Imaging
#971
of 1,095 outputs
Outputs of similar age
#367,929
of 425,879 outputs
Outputs of similar age from Insights into Imaging
#36
of 38 outputs
Altmetric has tracked 24,486,486 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 1,095 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 425,879 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 38 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.