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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting the start of an influenza outbreak using exponentially weighted moving average charts
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2010
|
| DOI | 10.1186/1472-6947-10-37 |
| Pubmed ID | |
| Authors |
Stefan H Steiner, Kristina Grant, Michael Coory, Heath A Kelly |
| Abstract |
Influenza viruses cause seasonal outbreaks in temperate climates, usually during winter and early spring, and are endemic in tropical climates. The severity and length of influenza outbreaks vary from year to year. Quick and reliable detection of the start of an outbreak is needed to promote public health measures. |
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 % |
|---|---|---|
| India | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Spain | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 36 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Master | 9 | 23% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Agricultural and Biological Sciences | 8 | 20% |
| Mathematics | 3 | 8% |
| Computer Science | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 8 | 20% |
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 02 August 2013.
All research outputs
#13,691,082
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,042
of 1,982 outputs
Outputs of similar age
#73,072
of 93,406 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 6 outputs
Altmetric has tracked 22,715,151 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 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. 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 93,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.