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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs
|
---|---|
Published in |
Journal of Digital Imaging, April 2019
|
DOI | 10.1007/s10278-019-00208-0 |
Pubmed ID | |
Authors |
Tae Kyung Kim, Paul H. Yi, Jinchi Wei, Ji Won Shin, Gregory Hager, Ferdinand K. Hui, Haris I. Sair, Cheng Ting Lin |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Netherlands | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 19% |
Student > Bachelor | 9 | 14% |
Researcher | 8 | 13% |
Student > Ph. D. Student | 6 | 9% |
Other | 4 | 6% |
Other | 6 | 9% |
Unknown | 19 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 23% |
Engineering | 7 | 11% |
Computer Science | 6 | 9% |
Agricultural and Biological Sciences | 3 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Other | 7 | 11% |
Unknown | 23 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 July 2019.
All research outputs
#14,160,405
of 23,140,503 outputs
Outputs from Journal of Digital Imaging
#642
of 1,070 outputs
Outputs of similar age
#189,266
of 353,057 outputs
Outputs of similar age from Journal of Digital Imaging
#16
of 29 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,070 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 38th percentile – i.e., 38% 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 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.