| Title |
Sequence-based prediction of SARS-CoV-2 vaccine targets using a mass spectrometry-based bioinformatics predictor identifies immunogenic T cell epitopes
|
|---|---|
| Published in |
Genome Medicine, August 2020
|
| DOI | 10.1186/s13073-020-00767-w |
| Pubmed ID | |
| Authors |
Asaf Poran, Dewi Harjanto, Matthew Malloy, Christina M. Arieta, Daniel A. Rothenberg, Divya Lenkala, Marit M. van Buuren, Terri A. Addona, Michael S. Rooney, Lakshmi Srinivasan, Richard B. Gaynor |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| Ecuador | 1 | 11% |
| El Salvador | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 18% |
| Student > Bachelor | 23 | 14% |
| Student > Ph. D. Student | 16 | 10% |
| Other | 14 | 9% |
| Student > Master | 10 | 6% |
| Other | 21 | 13% |
| Unknown | 50 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 13% |
| Medicine and Dentistry | 22 | 13% |
| Immunology and Microbiology | 16 | 10% |
| Nursing and Health Professions | 10 | 6% |
| Agricultural and Biological Sciences | 9 | 5% |
| Other | 33 | 20% |
| Unknown | 52 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 13 April 2023.
All research outputs
#2,257,287
of 23,845,863 outputs
Outputs from Genome Medicine
#513
of 1,477 outputs
Outputs of similar age
#60,608
of 400,684 outputs
Outputs of similar age from Genome Medicine
#12
of 23 outputs
Altmetric has tracked 23,845,863 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.3. This one has gotten more attention than average, scoring higher than 65% 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 400,684 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 84% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.