| Title |
FluDetWeb: an interactive web-based system for the early detection of the onset of influenza epidemics
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2009
|
| DOI | 10.1186/1472-6947-9-36 |
| Pubmed ID | |
| Authors |
David Conesa, Antonio López-Quílez, Miguel Ángel Martínez-Beneito, María Teresa Miralles, Francisco Verdejo |
| Abstract |
The early identification of influenza outbreaks has became a priority in public health practice. A large variety of statistical algorithms for the automated monitoring of influenza surveillance have been proposed, but most of them require not only a lot of computational effort but also operation of sometimes not-so-friendly software. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Zimbabwe | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 29 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 6 | 19% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 5 | 16% |
| Professor > Associate Professor | 3 | 9% |
| Other | 4 | 13% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 25% |
| Medicine and Dentistry | 7 | 22% |
| Agricultural and Biological Sciences | 4 | 13% |
| Business, Management and Accounting | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 October 2014.
All research outputs
#18,380,628
of 22,766,595 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,568
of 1,984 outputs
Outputs of similar age
#101,544
of 110,511 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 6 outputs
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So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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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.