Vaccine Design
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Artificial Intelligence in Vaccine and Drug Design
|
|---|---|
| Chapter number | 6 |
| Book title |
Vaccine Design
|
| Published in |
Methods in molecular biology, December 2021
|
| DOI | 10.1007/978-1-0716-1884-4_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161883-7, 978-1-07-161884-4
|
| Authors |
Sunil Thomas, Ann Abraham, Jeremy Baldwin, Sakshi Piplani, Nikolai Petrovsky, Thomas, Sunil, Abraham, Ann, Baldwin, Jeremy, Piplani, Sakshi, Petrovsky, Nikolai |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 11% |
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Unspecified | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 27 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Medicine and Dentistry | 4 | 7% |
| Immunology and Microbiology | 4 | 7% |
| Unspecified | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 28 | 49% |
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 08 November 2023.
All research outputs
#2,387,521
of 25,211,948 outputs
Outputs from Methods in molecular biology
#382
of 14,142 outputs
Outputs of similar age
#52,329
of 485,760 outputs
Outputs of similar age from Methods in molecular biology
#17
of 849 outputs
Altmetric has tracked 25,211,948 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 14,142 research outputs from this source. They receive a mean Attention Score of 3.5. 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 485,760 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 89% of its contemporaries.
We're also able to compare this research output to 849 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 98% of its contemporaries.