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Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning

Overview of attention for article published in Journal of Digital Imaging, May 2019
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
8 Mendeley
Title
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning
Published in
Journal of Digital Imaging, May 2019
DOI 10.1007/s10278-019-00204-4
Pubmed ID
Authors

Shikun Zhang, Fengrong Sun, Naishun Wang, Cuicui Zhang, Qianlei Yu, Mingqiang Zhang, Paul Babyn, Hai Zhong

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Bachelor 2 25%
Student > Master 1 13%
Researcher 1 13%
Student > Doctoral Student 1 13%
Other 1 13%
Readers by discipline Count As %
Medicine and Dentistry 5 63%
Biochemistry, Genetics and Molecular Biology 1 13%
Unspecified 1 13%
Engineering 1 13%

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 09 July 2019.
All research outputs
#10,385,094
of 13,610,796 outputs
Outputs from Journal of Digital Imaging
#513
of 672 outputs
Outputs of similar age
#168,391
of 249,039 outputs
Outputs of similar age from Journal of Digital Imaging
#22
of 30 outputs
Altmetric has tracked 13,610,796 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% 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 249,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 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.