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X Demographics
Mendeley readers
| Title |
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, August 2022
|
| DOI | 10.3389/frai.2022.876100 |
| Pubmed ID | |
| Authors |
Ehsan Irajizad, Ranran Wu, Jody Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathym, Vicente Valero, Senthil Damodaran, Gaiane M. Rauch, Beatriz Adrada, Rosalind Candelaria, Jason B. White, Abenaa Brewster, Banu Arun, James P. Long, Kim Anh, Sam Hanash, Johannes F. Fahrmann |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Computer Science | 2 | 10% |
| Unspecified | 1 | 5% |
| Unknown | 12 | 60% |