| Title |
SARS-CoV-2 T-cell epitopes define heterologous and COVID-19-induced T-cell recognition
|
|---|---|
| Published in |
Research Square, June 2020
|
| DOI | 10.21203/rs.3.rs-35331/v1 |
| Authors |
Annika Nelde, Tatjana Bilich, Jonas S. Heitmann, Yacine Maringer, Helmut R. Salih, Malte Roerden, Maren Lübke, Jens Bauer, Jonas Rieth, Marcel Wacker, Andreas Peter, Sebastian Hörber, Bjoern Traenkle, Philipp D. Kaiser, Ulrich Rothbauer, Matthias Becker, Daniel Junker, Gérard Krause, Monika Strengert, Nicole Schneiderhan-Marra, Markus F. Templin, Thomas O. Joos, Daniel J. Kowalewski, Vlatka Stos-Zweifel, Michael Fehr, Michael Graf, Lena-Christin Gruber, David Rachfalski, Beate Preuß, Ilona Hagelstein, Melanie Märklin, Tamam Bakchoul, Cécile Gouttefangeas, Oliver Kohlbacher, Reinhild Klein, Stefan Stevanović, Hans-Georg Rammensee, Juliane S. Walz |
X Demographics
The data shown below were collected from the profiles of 4,141 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 | 658 | 16% |
| United Kingdom | 436 | 11% |
| Germany | 82 | 2% |
| Canada | 63 | 2% |
| France | 56 | 1% |
| Argentina | 48 | 1% |
| Spain | 38 | <1% |
| Australia | 35 | <1% |
| Japan | 32 | <1% |
| Other | 394 | 10% |
| Unknown | 2299 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3799 | 92% |
| Scientists | 159 | 4% |
| Practitioners (doctors, other healthcare professionals) | 124 | 3% |
| Science communicators (journalists, bloggers, editors) | 47 | 1% |
| Unknown | 12 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 33% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Master | 9 | 10% |
| Other | 6 | 7% |
| Professor | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 18% |
| Immunology and Microbiology | 15 | 17% |
| Medicine and Dentistry | 13 | 15% |
| Agricultural and Biological Sciences | 8 | 9% |
| Computer Science | 2 | 2% |
| Other | 12 | 14% |
| Unknown | 21 | 24% |