Computational Modeling of Drugs Against Alzheimer’s Disease
Springer US
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Computational Modeling of DYRK1A Inhibitors as Potential Anti-Alzheimer Agents
|
|---|---|
| Chapter number | 10 |
| Book title |
Computational Modeling of Drugs Against Alzheimer’s Disease
|
| Published by |
Humana, New York, NY, July 2023
|
| DOI | 10.1007/978-1-0716-3311-3_10 |
| Book ISBNs |
978-1-07-163310-6, 978-1-07-163311-3
|
| Authors |
Serrano-Candelas, Eva, Carpio, Laureano E., Gozalbes, Rafael |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 100% |