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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK
|
|---|---|
| Published in |
Frontiers in Digital Health, January 2022
|
| DOI | 10.3389/fdgth.2021.804855 |
| Pubmed ID | |
| Authors |
Katherine Lanyi, Rhiannon Green, Dawn Craig, Christopher Marshall |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 3 | 38% |
| United States | 2 | 25% |
| Switzerland | 1 | 13% |
| France | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 20 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 17% |
| Computer Science | 5 | 11% |
| Psychology | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 21 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 27 April 2022.
All research outputs
#6,449,819
of 23,043,346 outputs
Outputs from Frontiers in Digital Health
#226
of 556 outputs
Outputs of similar age
#144,732
of 502,936 outputs
Outputs of similar age from Frontiers in Digital Health
#17
of 58 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 58% 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 502,936 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 58 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 68% of its contemporaries.