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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The use of syndromic surveillance for decision-making during the H1N1 pandemic: A qualitative study
|
|---|---|
| Published in |
BMC Public Health, October 2012
|
| DOI | 10.1186/1471-2458-12-929 |
| Pubmed ID | |
| Authors |
Anna Chu, Rachel Savage, Don Willison, Natasha S Crowcroft, Laura C Rosella, Doug Sider, Jason Garay, Ian Gemmill, Anne-Luise Winter, Richard F Davies, Ian Johnson |
| Abstract |
Although an increasing number of studies are documenting uses of syndromic surveillance by front line public health, few detail the value added from linking syndromic data to public health decision-making. This study seeks to understand how syndromic data informed specific public health actions during the 2009 H1N1 pandemic. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 2% |
| Switzerland | 1 | <1% |
| Unknown | 107 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 16% |
| Student > Master | 16 | 15% |
| Researcher | 15 | 14% |
| Student > Bachelor | 12 | 11% |
| Student > Doctoral Student | 5 | 5% |
| Other | 13 | 12% |
| Unknown | 31 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 23% |
| Agricultural and Biological Sciences | 11 | 10% |
| Psychology | 8 | 7% |
| Social Sciences | 7 | 6% |
| Computer Science | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 35 | 32% |
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 31 October 2012.
All research outputs
#13,674,168
of 22,684,168 outputs
Outputs from BMC Public Health
#9,839
of 14,762 outputs
Outputs of similar age
#102,777
of 183,634 outputs
Outputs of similar age from BMC Public Health
#165
of 277 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 32nd percentile – i.e., 32% 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 183,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.