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CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study

Overview of attention for article published in European Radiology, June 2019
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Mentioned by

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1 Facebook page

Citations

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113 Dimensions

Readers on

mendeley
69 Mendeley
Title
CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study
Published in
European Radiology, June 2019
DOI 10.1007/s00330-019-06176-x
Pubmed ID
Authors

Dongsheng Gu, Yabin Hu, Hui Ding, Jingwei Wei, Ke Chen, Hao Liu, Mengsu Zeng, Jie Tian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Student > Doctoral Student 6 9%
Researcher 6 9%
Student > Postgraduate 6 9%
Student > Master 5 7%
Other 12 17%
Unknown 25 36%
Readers by discipline Count As %
Medicine and Dentistry 24 35%
Engineering 5 7%
Computer Science 4 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Psychology 2 3%
Other 2 3%
Unknown 30 43%
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 30 June 2019.
All research outputs
#20,574,742
of 23,151,828 outputs
Outputs from European Radiology
#3,369
of 4,191 outputs
Outputs of similar age
#299,209
of 352,212 outputs
Outputs of similar age from European Radiology
#55
of 66 outputs
Altmetric has tracked 23,151,828 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 4,191 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 352,212 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 66 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.