The data shown below were collected from the profiles of 887 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A computationally designed antigen eliciting broad humoral responses against SARS-CoV-2 and related sarbecoviruses
|
|---|---|
| Published in |
Nature Biomedical Engineering, September 2023
|
| DOI | 10.1038/s41551-023-01094-2 |
| Pubmed ID | |
| Authors |
Sneha Vishwanath, George William Carnell, Matteo Ferrari, Benedikt Asbach, Martina Billmeier, Charlotte George, Maria Suau Sans, Angalee Nadesalingam, Chloe Qingzhou Huang, Minna Paloniemi, Hazel Stewart, Andrew Chan, David Arthur Wells, Patrick Neckermann, David Peterhoff, Sebastian Einhauser, Diego Cantoni, Martin Mayora Neto, Ingo Jordan, Volker Sandig, Paul Tonks, Nigel Temperton, Simon Frost, Katharina Sohr, Maria Teresa Lluesma Ballesteros, Farzad Arbabi, Johannes Geiger, Christian Dohmen, Christian Plank, Rebecca Kinsley, Ralf Wagner, Jonathan Luke Heeney |
| Abstract |
The threat of spillovers of coronaviruses associated with the severe acute respiratory syndrome (SARS) from animals to humans necessitates vaccines that offer broader protection from sarbecoviruses. By leveraging a viral-genome-informed computational method for selecting immune-optimized and structurally engineered antigens, here we show that a single antigen based on the receptor binding domain of the spike protein of sarbecoviruses elicits broad humoral responses against SARS-CoV-1, SARS-CoV-2, WIV16 and RaTG13 in mice, rabbits and guinea pigs. When administered as a DNA immunogen or by a vector based on a modified vaccinia virus Ankara, the optimized antigen induced vaccine protection from the Delta variant of SARS-CoV-2 in mice genetically engineered to express angiotensin-converting enzyme 2 and primed by a viral-vector vaccine (AZD1222) against SARS-CoV-2. A vaccine formulation incorporating mRNA coding for the optimized antigen further validated its broad immunogenicity. Vaccines that elicit broad immune responses across subgroups of coronaviruses may counteract the threat of zoonotic spillovers of betacoronaviruses. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 30 | 3% |
| Japan | 28 | 3% |
| United Kingdom | 7 | <1% |
| Canada | 5 | <1% |
| Germany | 4 | <1% |
| Turkey | 3 | <1% |
| China | 2 | <1% |
| India | 2 | <1% |
| Mauritius | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 800 | 90% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 753 | 85% |
| Scientists | 75 | 8% |
| Practitioners (doctors, other healthcare professionals) | 37 | 4% |
| Science communicators (journalists, bloggers, editors) | 21 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 35% |
| Unspecified | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Agricultural and Biological Sciences | 2 | 10% |
| Chemistry | 2 | 10% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 887. 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 August 2024.
All research outputs
#21,208
of 26,576,308 outputs
Outputs from Nature Biomedical Engineering
#8
of 1,202 outputs
Outputs of similar age
#484
of 367,341 outputs
Outputs of similar age from Nature Biomedical Engineering
#2
of 46 outputs
Altmetric has tracked 26,576,308 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.9. This one has done particularly well, scoring higher than 99% 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 367,341 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 99% of its contemporaries.
We're also able to compare this research output to 46 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 95% of its contemporaries.