Inhaled Medicines
Elsevier
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Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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| Chapter title |
Machine learning and in silico methods
|
|---|---|
| Book title |
Inhaled Medicines
|
| Published in |
Inhaled Medicines, January 2021
|
| DOI | 10.1016/b978-0-12-814974-4.00013-4 |
| Book ISBNs |
978-0-12-814974-4
|
| Authors |
Ching-Long Lin, Eric A. Hoffman, Stavros Kassinos |
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X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 14% |
| Researcher | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 29% |
| Engineering | 1 | 14% |
| Unknown | 4 | 57% |