| Title |
Highly synergistic combinations of nanobodies that target SARS-CoV-2 and are resistant to escape
|
|---|---|
| Published in |
eLife, December 2021
|
| DOI | 10.7554/elife.73027 |
| Pubmed ID | |
| Authors |
Fred D Mast, Peter C Fridy, Natalia E Ketaren, Junjie Wang, Erica Y Jacobs, Jean Paul Olivier, Tanmoy Sanyal, Kelly R Molloy, Fabian Schmidt, Magdalena Rutkowska, Yiska Weisblum, Lucille M Rich, Elizabeth R Vanderwall, Nicholas Dambrauskas, Vladimir Vigdorovich, Sarah Keegan, Jacob B Jiler, Milana E Stein, Paul Dominic B Olinares, Louis Herlands, Theodora Hatziioannou, D Noah Sather, Jason S Debley, David Fenyö, Andrej Sali, Paul D Bieniasz, John D Aitchison, Brian T Chait, Michael P Rout |
X Demographics
The data shown below were collected from the profiles of 117 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 | 17 | 15% |
| United Kingdom | 9 | 8% |
| France | 7 | 6% |
| Canada | 6 | 5% |
| India | 4 | 3% |
| Netherlands | 3 | 3% |
| Saudi Arabia | 2 | 2% |
| Chile | 2 | 2% |
| Spain | 2 | 2% |
| Other | 14 | 12% |
| Unknown | 51 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 82 | 70% |
| Scientists | 31 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Master | 6 | 10% |
| Professor | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 21 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 24% |
| Agricultural and Biological Sciences | 5 | 8% |
| Engineering | 3 | 5% |
| Chemistry | 3 | 5% |
| Immunology and Microbiology | 2 | 3% |
| Other | 10 | 17% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 194. 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 15 March 2023.
All research outputs
#207,018
of 25,623,883 outputs
Outputs from eLife
#456
of 15,758 outputs
Outputs of similar age
#5,985
of 514,389 outputs
Outputs of similar age from eLife
#20
of 491 outputs
Altmetric has tracked 25,623,883 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 15,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.0. This one has done particularly well, scoring higher than 97% 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 514,389 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 98% of its contemporaries.
We're also able to compare this research output to 491 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.