| Title |
Predicting SARS-CoV-2 Variant Spread in a Completely Seropositive Population Using Semi-Quantitative Antibody Measurements in Blood Donors
|
|---|---|
| Published in |
Vaccines, August 2022
|
| DOI | 10.3390/vaccines10091437 |
| Authors |
Lewis Buss, Carlos A. Prete, Charles Whittaker, Tassila Salomon, Marcio K. Oikawa, Rafael H. M. Pereira, Isabel C. G. Moura, Lucas Delerino, Rafael F. O. Franca, Fabio Miyajima, Alfredo Mendrone Jr., Cesar Almeida-Neto, Nanci A. Salles, Suzete C. Ferreira, Karine A. Fladzinski, Luana M. de Souza, Luciane K. Schier, Patricia M. Inoue, Lilyane A. Xabregas, Myuki A. E. Crispim, Nelson Fraiji, Luciana M. B. Carlos, Veridiana Pessoa, Maisa A. Ribeiro, Rosenvaldo E. de Souza, Anna F. Cavalcante, Maria I. B. Valença, Maria V. da Silva, Esther Lopes, Luiz A. Filho, Sheila O. G. Mateos, Gabrielle T. Nunes, David Schlesinger, Sônia Mara Nunes da Silva, Alexander L. Silva-Junior, Marcia C. Castro, Vítor H. Nascimento, Christopher Dye, Michael P. Busch, Nuno R. Faria, Ester C. Sabino |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 14% |
| Brazil | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 28% |
| Lecturer | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 2 | 11% |
| Immunology and Microbiology | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 99. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2022.
All research outputs
#374,762
of 23,394,907 outputs
Outputs from Vaccines
#125
of 3,370 outputs
Outputs of similar age
#10,120
of 432,275 outputs
Outputs of similar age from Vaccines
#9
of 272 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 432,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 272 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.