A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
Springer International Publishing
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Mendeley readers
| Chapter title |
Natural vs. Artificially Sweet Tweets: Characterizing Discussions of Non-nutritive Sweeteners on Twitter
|
|---|---|
| Book title |
Explainable AI in Healthcare and Medicine
|
| Published by |
Springer, Cham, November 2020
|
| DOI | 10.1007/978-3-030-53352-6_16 |
| Book ISBNs |
978-3-03-053351-9, 978-3-03-053352-6
|
| Authors |
Hande Batan, Dianna Radpour, Ariane Kehlbacher, Judith Klein-Seetharaman, Michael J. Paul |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Student > Master | 2 | 17% |
| Other | 1 | 8% |
| Professor | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 25% |
| Arts and Humanities | 1 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Mathematics | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 3 | 25% |