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Can IVIM help predict HCC recurrence after hepatectomy?

Overview of attention for article published in European Radiology, April 2019
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1 X user

Citations

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27 Dimensions

Readers on

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14 Mendeley
Title
Can IVIM help predict HCC recurrence after hepatectomy?
Published in
European Radiology, April 2019
DOI 10.1007/s00330-019-06180-1
Pubmed ID
Authors

Yao Zhang, Sichi Kuang, Qungang Shan, Dailin Rong, Zhongping Zhang, Hao Yang, Jun Wu, Jingbiao Chen, Bingjun He, Ying Deng, Neil Roberts, Jun Shen, Sudhakar K. Venkatesh, Jin Wang

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Other 2 14%
Professor 2 14%
Student > Bachelor 2 14%
Lecturer 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 7 50%
Biochemistry, Genetics and Molecular Biology 1 7%
Immunology and Microbiology 1 7%
Nursing and Health Professions 1 7%
Physics and Astronomy 1 7%
Other 1 7%
Unknown 2 14%
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 12 April 2019.
All research outputs
#20,564,621
of 23,140,503 outputs
Outputs from European Radiology
#3,367
of 4,188 outputs
Outputs of similar age
#302,971
of 353,057 outputs
Outputs of similar age from European Radiology
#67
of 96 outputs
Altmetric has tracked 23,140,503 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 4,188 research outputs from this source. They receive a mean Attention Score of 4.6. 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 353,057 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 96 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.