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X Demographics
Mendeley readers
| Title |
iNALU: Improved Neural Arithmetic Logic Unit
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2020
|
| DOI | 10.3389/frai.2020.00071 |
| Pubmed ID | |
| Authors |
Daniel Schlör, Markus Ring, Andreas Hotho |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 17% |
| Switzerland | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Researcher | 3 | 13% |
| Other | 2 | 9% |
| Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 39% |
| Agricultural and Biological Sciences | 2 | 9% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |