The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network
|
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Published in |
Frontiers in Artificial Intelligence, February 2022
|
DOI | 10.3389/frai.2022.782225 |
Pubmed ID | |
Authors |
Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Masahiro Yanagawa, Noriyuki Tomiyama |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 11% |
Sweden | 1 | 11% |
Brazil | 1 | 11% |
Germany | 1 | 11% |
India | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 12% |
Student > Master | 2 | 6% |
Researcher | 2 | 6% |
Other | 1 | 3% |
Student > Bachelor | 1 | 3% |
Other | 3 | 9% |
Unknown | 21 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 12% |
Engineering | 4 | 12% |
Physics and Astronomy | 2 | 6% |
Unspecified | 1 | 3% |
Mathematics | 1 | 3% |
Other | 2 | 6% |
Unknown | 20 | 59% |