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X Demographics
Mendeley readers
| Title |
Impact of circulating SARS-CoV-2 variants on mRNA vaccine-induced immunity in uninfected and previously infected individuals
|
|---|---|
| Published in |
medRxiv, July 2021
|
| DOI | 10.1101/2021.07.14.21260307 |
| Authors |
Carolina Lucas, Chantal B. F. Vogels, Inci Yildirim, Jessica E. Rothman, Peiwen Lu, Valter Monteiro, Jeff R. Gelhausen, Melissa Campbell, Julio Silva, Alexandra Tabachikova, M. Catherine Muenker, Mallery I. Breban, Joseph R. Fauver, Subhasis Mohanty, Jiefang Huang, Yale SARS-CoV-2 Genomic Surveillance Initiative, Claire Pearson, Anthony Muyombwe, Randy Downing, Jafar Razeq, Mary Petrone, Isabel Ott, Anne Watkins, Chaney Kalinich, Tara Alpert, Anderson Brito, Rebecca Earnest, Steven Murphy, Caleb Neal, Eva Laszlo, Ahmad Altajar, Irina Tikhonova, Christopher Castaldi, Shrikant Mane, Kaya Bilguvar, Nicholas Kerantzas, David Ferguson, Wade Schulz, Marie Landry, David Peaper, Albert C. Shaw, Albert I. Ko, Saad B. Omer, Nathan D. Grubaugh, Akiko Iwasaki |
X Demographics
The data shown below were collected from the profiles of 1,455 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 | 206 | 14% |
| Japan | 82 | 6% |
| Thailand | 62 | 4% |
| India | 23 | 2% |
| Canada | 21 | 1% |
| Brazil | 20 | 1% |
| United Kingdom | 18 | 1% |
| Spain | 15 | 1% |
| Italy | 13 | <1% |
| Other | 178 | 12% |
| Unknown | 817 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1181 | 81% |
| Scientists | 184 | 13% |
| Practitioners (doctors, other healthcare professionals) | 67 | 5% |
| Science communicators (journalists, bloggers, editors) | 23 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Professor | 5 | 14% |
| Other | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Immunology and Microbiology | 3 | 8% |
| Nursing and Health Professions | 1 | 3% |
| Other | 8 | 22% |
| Unknown | 12 | 32% |