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Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings

Overview of attention for article published in European Radiology, November 2019
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Title
Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings
Published in
European Radiology, November 2019
DOI 10.1007/s00330-019-06532-x
Pubmed ID
Authors

Sohee Park, Sang Min Lee, Kyung Hee Lee, Kyu-Hwan Jung, Woong Bae, Jooae Choe, Joon Beom Seo

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 November 2019.
All research outputs
#12,426,600
of 14,051,004 outputs
Outputs from European Radiology
#1,587
of 2,002 outputs
Outputs of similar age
#212,326
of 258,615 outputs
Outputs of similar age from European Radiology
#58
of 77 outputs
Altmetric has tracked 14,051,004 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 2,002 research outputs from this source. They receive a mean Attention Score of 3.7. 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 258,615 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 77 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.