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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
|
|---|---|
| Published in |
Frontiers in Digital Health, November 2021
|
| DOI | 10.3389/fdgth.2021.745674 |
| Pubmed ID | |
| Authors |
Quentin Haas, Nikolay Borisov, David Vicente Alvarez, Sohrab Ferdowsi, Leonhard von Meyenn, Douglas Teodoro, Poorya Amini |
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 % |
|---|---|---|
| Australia | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 19% |
| Student > Bachelor | 3 | 19% |
| Student > Master | 2 | 13% |
| Researcher | 1 | 6% |
| Librarian | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 19% |
| Medicine and Dentistry | 3 | 19% |
| Mathematics | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 November 2021.
All research outputs
#15,155,790
of 23,310,485 outputs
Outputs from Frontiers in Digital Health
#413
of 579 outputs
Outputs of similar age
#233,615
of 440,489 outputs
Outputs of similar age from Frontiers in Digital Health
#40
of 66 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 440,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.