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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Balancing Evidence and Uncertainty when Considering Rubella Vaccine Introduction
|
|---|---|
| Published in |
PLOS ONE, July 2013
|
| DOI | 10.1371/journal.pone.0067639 |
| Pubmed ID | |
| Authors |
Justin Lessler, C. Jessica E. Metcalf |
| Abstract |
Despite a safe and effective vaccine, rubella vaccination programs with inadequate coverage can raise the average age of rubella infection; thereby increasing rubella cases among pregnant women and the resulting congenital rubella syndrome (CRS) in their newborns. The vaccination coverage necessary to reduce CRS depends on the birthrate in a country and the reproductive number, R0, a measure of how efficiently a disease transmits. While the birthrate within a country can be known with some accuracy, R0 varies between settings and can be difficult to measure. Here we aim to provide guidance on the safe introduction of rubella vaccine into countries in the face of substantial uncertainty in R0. |
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 % |
|---|---|---|
| Netherlands | 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Australia | 1 | 1% |
| Unknown | 78 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 18% |
| Researcher | 12 | 14% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Bachelor | 11 | 13% |
| Other | 7 | 8% |
| Other | 11 | 13% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 27% |
| Agricultural and Biological Sciences | 16 | 19% |
| Nursing and Health Professions | 5 | 6% |
| Mathematics | 5 | 6% |
| Computer Science | 3 | 4% |
| Other | 12 | 14% |
| Unknown | 20 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 August 2022.
All research outputs
#13,108,737
of 23,103,436 outputs
Outputs from PLOS ONE
#103,388
of 197,133 outputs
Outputs of similar age
#99,279
of 195,351 outputs
Outputs of similar age from PLOS ONE
#2,487
of 4,854 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 46th percentile – i.e., 46% 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 195,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,854 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.