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X Demographics
Mendeley readers
| Chapter title |
Medical Image Detection Using Deep Learning
|
|---|---|
| Chapter number | 1 |
| Book title |
Deep Learning in Healthcare
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-32606-7_1 |
| Book ISBNs |
978-3-03-032605-0, 978-3-03-032606-7
|
| Authors |
María Inmaculada García Ocaña, Karen López-Linares Román, Nerea Lete Urzelai, Miguel Ángel González Ballester, Iván Macía Oliver, García Ocaña, María Inmaculada, López-Linares Román, Karen, Lete Urzelai, Nerea, González Ballester, Miguel Ángel, Macía Oliver, Iván |
X Demographics
The data shown below were collected from the profiles of 33 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 | 3% |
| Canada | 1 | 3% |
| Brazil | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| United Kingdom | 1 | 3% |
| South Africa | 1 | 3% |
| Germany | 1 | 3% |
| Kenya | 1 | 3% |
| India | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 22 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 97% |
| Scientists | 1 | 3% |
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 % |
|---|---|---|
| Other | 2 | 17% |
| Student > Bachelor | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Master | 2 | 17% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 42% |
| Engineering | 2 | 17% |
| Medicine and Dentistry | 1 | 8% |
| Linguistics | 1 | 8% |
| Unknown | 3 | 25% |