You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Neural Network Training With Asymmetric Crosspoint Elements
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2022
|
| DOI | 10.3389/frai.2022.891624 |
| Pubmed ID | |
| Authors |
Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 11% |
| Professor | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Master | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 17% |
| Computer Science | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Materials Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 61% |