The data shown below were collected from the profiles of 12 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 |
Cross-Reactive SARS-CoV-2 Neutralizing Antibodies From Deep Mining of Early Patient Responses
|
|---|---|
| Published in |
Frontiers in immunology, June 2021
|
| DOI | 10.3389/fimmu.2021.678570 |
| Pubmed ID | |
| Authors |
Georgia Bullen, Jacob D. Galson, Gareth Hall, Pedro Villar, Lien Moreels, Line Ledsgaard, Giada Mattiuzzo, Emma M. Bentley, Edward W. Masters, David Tang, Sophie Millett, Danielle Tongue, Richard Brown, Ioannis Diamantopoulos, Kothai Parthiban, Claire Tebbutt, Rachael Leah, Krishna Chaitanya, Sandra Ergueta-Carballo, Deividas Pazeraitis, Sachin B. Surade, Omodele Ashiru, Lucia Crippa, Richard Cowan, Matthew W. Bowler, Jamie I. Campbell, Wing-Yiu Jason Lee, Mark D. Carr, David Matthews, Paul Pfeffer, Simon E. Hufton, Kovilen Sawmynaden, Jane Osbourn, John McCafferty, Aneesh Karatt-Vellatt |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 8% |
| Colombia | 1 | 8% |
| United Kingdom | 1 | 8% |
| South Africa | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Bachelor | 6 | 14% |
| Student > Ph. D. Student | 4 | 9% |
| Lecturer | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 17 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Agricultural and Biological Sciences | 3 | 7% |
| Social Sciences | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 18 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 December 2022.
All research outputs
#4,754,673
of 26,163,973 outputs
Outputs from Frontiers in immunology
#5,162
of 33,001 outputs
Outputs of similar age
#104,835
of 462,351 outputs
Outputs of similar age from Frontiers in immunology
#263
of 1,459 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,001 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 84% 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 462,351 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,459 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.