| Title |
SARS-CoV-2 T-cell epitopes define heterologous and COVID-19-induced T-cell recognition
|
|---|---|
| Published by |
Research Square Platform LLC
|
| DOI | 10.21203/rs.3.rs-35331/v1 |
| Authors |
Nelde, Annika, Bilich, Tatjana, Heitmann, Jonas S., Maringer, Yacine, Salih, Helmut R., Roerden, Malte, Lübke, Maren, Bauer, Jens, Rieth, Jonas, Wacker, Marcel, Peter, Andreas, Hörber, Sebastian, Traenkle, Bjoern, Kaiser, Philipp D., Rothbauer, Ulrich, Becker, Matthias, Junker, Daniel, Krause, Gérard, Strengert, Monika, Schneiderhan-Marra, Nicole, Templin, Markus F., Joos, Thomas O., Kowalewski, Daniel J., Stos-Zweifel, Vlatka, Fehr, Michael, Graf, Michael, Gruber, Lena-Christin, Rachfalski, David, Preuß, Beate, Hagelstein, Ilona, Märklin, Melanie, Bakchoul, Tamam, Gouttefangeas, Cécile, Kohlbacher, Oliver, Klein, Reinhild, Stevanović, Stefan, Rammensee, Hans-Georg, Walz, Juliane S. |
Twitter Demographics
The data shown below were collected from the profiles of 4,314 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 697 | 16% |
| United Kingdom | 462 | 11% |
| Germany | 83 | 2% |
| Canada | 74 | 2% |
| France | 57 | 1% |
| Argentina | 52 | 1% |
| Spain | 41 | <1% |
| Japan | 38 | <1% |
| Australia | 37 | <1% |
| Other | 444 | 10% |
| Unknown | 2329 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3939 | 91% |
| Scientists | 173 | 4% |
| Practitioners (doctors, other healthcare professionals) | 137 | 3% |
| Science communicators (journalists, bloggers, editors) | 52 | 1% |
| Unknown | 13 | <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% |