Title |
Machine learning analysis of humoral and cellular responses to SARS-CoV-2 infection in young adults
|
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Published in |
Frontiers in immunology, May 2023
|
DOI | 10.3389/fimmu.2023.1158905 |
Pubmed ID | |
Authors |
Ricards Marcinkevics, Pamuditha N. Silva, Anna-Katharina Hankele, Charlyn Dörnte, Sarah Kadelka, Katharina Csik, Svenja Godbersen, Algera Goga, Lynn Hasenöhrl, Pascale Hirschi, Hasan Kabakci, Mary P. LaPierre, Johanna Mayrhofer, Alexandra C. Title, Xuan Shu, Nouell Baiioud, Sandra Bernal, Laura Dassisti, Mara D. Saenz-de-Juano, Meret Schmidhauser, Giulia Silvestrelli, Simon Z. Ulbrich, Thea J. Ulbrich, Tamara Wyss, Daniel J. Stekhoven, Faisal S. Al-Quaddoomi, Shuqing Yu, Mascha Binder, Christoph Schultheiβ, Claudia Zindel, Christoph Kolling, Jörg Goldhahn, Bahram Kasmapour Seighalani, Polina Zjablovskaja, Frank Hardung, Marc Schuster, Anne Richter, Yi-Ju Huang, Gereon Lauer, Herrad Baurmann, Jun Siong Low, Daniela Vaqueirinho, Sandra Jovic, Luca Piccoli, Sandra Ciesek, Julia E. Vogt, Federica Sallusto, Markus Stoffel, Susanne E. Ulbrich |
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Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 40% |
Student > Master | 1 | 10% |
Unknown | 5 | 50% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 1 | 10% |
Agricultural and Biological Sciences | 1 | 10% |
Social Sciences | 1 | 10% |
Neuroscience | 1 | 10% |
Unknown | 6 | 60% |