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X Demographics
Mendeley readers
| Title |
A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, March 2020
|
| DOI | 10.3389/frai.2020.00012 |
| Pubmed ID | |
| Authors |
Michael Germuska, Hannah Louise Chandler, Thomas Okell, Fabrizio Fasano, Valentina Tomassini, Kevin Murphy, Richard G. Wise |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Switzerland | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 28% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Lecturer | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 10 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 14% |
| Engineering | 2 | 7% |
| Neuroscience | 2 | 7% |
| Physics and Astronomy | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 52% |