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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control
|
|---|---|
| Published in |
PLoS Computational Biology, October 2011
|
| DOI | 10.1371/journal.pcbi.1002199 |
| Pubmed ID | |
| Authors |
Marcel Salathé, Shashank Khandelwal |
X Demographics
The data shown below were collected from the profiles of 32 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 | 6 | 19% |
| Spain | 3 | 9% |
| Australia | 1 | 3% |
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Unknown | 20 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 84% |
| Scientists | 4 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 743 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| United Kingdom | 4 | <1% |
| Switzerland | 3 | <1% |
| Ireland | 2 | <1% |
| Spain | 2 | <1% |
| France | 1 | <1% |
| Indonesia | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 707 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 127 | 17% |
| Student > Master | 105 | 14% |
| Researcher | 78 | 10% |
| Student > Bachelor | 67 | 9% |
| Professor > Associate Professor | 37 | 5% |
| Other | 131 | 18% |
| Unknown | 198 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 104 | 14% |
| Social Sciences | 91 | 12% |
| Medicine and Dentistry | 84 | 11% |
| Agricultural and Biological Sciences | 51 | 7% |
| Psychology | 30 | 4% |
| Other | 158 | 21% |
| Unknown | 225 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 168. 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 21 March 2022.
All research outputs
#248,987
of 25,888,065 outputs
Outputs from PLoS Computational Biology
#160
of 9,065 outputs
Outputs of similar age
#867
of 150,247 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 119 outputs
Altmetric has tracked 25,888,065 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 98% 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 150,247 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 99% of its contemporaries.
We're also able to compare this research output to 119 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 99% of its contemporaries.