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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nucleobase adducts bind MR1 and stimulate MR1-restricted T cells
|
|---|---|
| Published in |
Science Immunology, May 2024
|
| DOI | 10.1126/sciimmunol.adn0126 |
| Pubmed ID | |
| Authors |
Alessandro Vacchini, Andrew Chancellor, Qinmei Yang, Rodrigo Colombo, Julian Spagnuolo, Giuliano Berloffa, Daniel Joss, Ove Øyås, Chiara Lecchi, Giulia De Simone, Aisha Beshirova, Vladimir Nosi, José Pedro Loureiro, Aurelia Morabito, Corinne De Gregorio, Michael Pfeffer, Verena Schaefer, Gennaro Prota, Alfred Zippelius, Jörg Stelling, Daniel Häussinger, Laura Brunelli, Peter Villalta, Marco Lepore, Enrico Davoli, Silvia Balbo, Lucia Mori, Gennaro De Libero |
X Demographics
The data shown below were collected from the profiles of 51 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 | 9 | 18% |
| United Kingdom | 2 | 4% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Colombia | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| France | 1 | 2% |
| Mexico | 1 | 2% |
| Malaysia | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 30 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 65% |
| Scientists | 13 | 25% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Ph. D. Student | 2 | 20% |
| Student > Bachelor | 2 | 20% |
| Unspecified | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Immunology and Microbiology | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Linguistics | 1 | 10% |
| Unspecified | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 160. 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 24 May 2024.
All research outputs
#263,946
of 26,011,622 outputs
Outputs from Science Immunology
#190
of 1,076 outputs
Outputs of similar age
#2,457
of 221,632 outputs
Outputs of similar age from Science Immunology
#4
of 31 outputs
Altmetric has tracked 26,011,622 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 1,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 137.1. This one has done well, scoring higher than 82% 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 221,632 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 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.