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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effectiveness of Inactivated Influenza Vaccines in Preventing Influenza-Associated Deaths and Hospitalizations among Ontario Residents Aged ≥65 Years: Estimates with Generalized Linear Models Accounting for Healthy Vaccinee Effects
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0076318 |
| Pubmed ID | |
| Authors |
Benjamin J. Ridenhour, Michael A. Campitelli, Jeffrey C. Kwong, Laura C. Rosella, Ben G. Armstrong, Punam Mangtani, Andrew J. Calzavara, David K. Shay |
| Abstract |
Estimates of the effectiveness of influenza vaccines in older adults may be biased because of difficulties identifying and adjusting for confounders of the vaccine-outcome association. We estimated vaccine effectiveness for prevention of serious influenza complications among older persons by using methods to account for underlying differences in risk for these complications. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 25% |
| United States | 3 | 19% |
| United Kingdom | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Practitioners (doctors, other healthcare professionals) | 6 | 38% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 21% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 10 | 15% |
| Student > Bachelor | 8 | 12% |
| Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Nursing and Health Professions | 7 | 10% |
| Agricultural and Biological Sciences | 4 | 6% |
| Mathematics | 4 | 6% |
| Social Sciences | 3 | 4% |
| Other | 14 | 21% |
| Unknown | 16 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 31 January 2022.
All research outputs
#1,070,498
of 25,203,135 outputs
Outputs from PLOS ONE
#13,811
of 218,635 outputs
Outputs of similar age
#9,470
of 218,170 outputs
Outputs of similar age from PLOS ONE
#398
of 5,144 outputs
Altmetric has tracked 25,203,135 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 93% 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 218,170 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 95% of its contemporaries.
We're also able to compare this research output to 5,144 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 92% of its contemporaries.