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Multi-Window CT Based Radiological Traits for Improving Early Detection in Lung Cancer Screening

Overview of attention for article published in Cancer Management and Research, November 2020
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
13 Mendeley
Title
Multi-Window CT Based Radiological Traits for Improving Early Detection in Lung Cancer Screening
Published in
Cancer Management and Research, November 2020
DOI 10.2147/cmar.s246609
Pubmed ID
Authors

Hong Lu, Jongphil Kim, Jin Qi, Qian Li, Ying Liu, Matthew B Schabath, Zhaoxiang Ye, Robert J Gillies, Yoganand Balagurunathan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 15%
Student > Bachelor 2 15%
Lecturer 1 8%
Student > Ph. D. Student 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 6 46%
Readers by discipline Count As %
Nursing and Health Professions 3 23%
Medicine and Dentistry 2 15%
Computer Science 1 8%
Business, Management and Accounting 1 8%
Unknown 6 46%
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 December 2020.
All research outputs
#20,672,155
of 23,267,128 outputs
Outputs from Cancer Management and Research
#1,409
of 2,022 outputs
Outputs of similar age
#359,820
of 421,081 outputs
Outputs of similar age from Cancer Management and Research
#40
of 89 outputs
Altmetric has tracked 23,267,128 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 2,022 research outputs from this source. They receive a mean Attention Score of 3.0. 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 421,081 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 89 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.