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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using funnel plots in public health surveillance
|
|---|---|
| Published in |
Population Health Metrics, November 2011
|
| DOI | 10.1186/1478-7954-9-58 |
| Pubmed ID | |
| Authors |
Douglas C Dover, Donald P Schopflocher |
| Abstract |
Public health surveillance is often concerned with the analysis of health outcomes over small areas. Funnel plots have been proposed as a useful tool for assessing and visualizing surveillance data, but their full utility has not been appreciated (for example, in the incorporation and interpretation of risk factors). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 6% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 56 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 24% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 6 | 10% |
| Professor > Associate Professor | 4 | 6% |
| Other | 3 | 5% |
| Other | 15 | 24% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 32% |
| Social Sciences | 6 | 10% |
| Nursing and Health Professions | 3 | 5% |
| Mathematics | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 11 | 17% |
| Unknown | 18 | 29% |
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 12 November 2011.
All research outputs
#14,139,782
of 22,656,971 outputs
Outputs from Population Health Metrics
#279
of 391 outputs
Outputs of similar age
#91,234
of 142,871 outputs
Outputs of similar age from Population Health Metrics
#2
of 4 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 25th percentile – i.e., 25% 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 142,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.