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Mendeley readers
Attention Score in Context
| Title |
Uso de la herramienta Google Trends para estimar la incidencia de enfermedades tipo influenza en Argentina
|
|---|---|
| Published in |
Cadernos de Saúde Pública, April 2015
|
| DOI | 10.1590/0102-311x00072814 |
| Pubmed ID | |
| Authors |
Pablo Wenceslao Orellano, Julieta Itatí Reynoso, Julián Antman, Osvaldo Argibay |
| Abstract |
The aim of this study was to find a model to estimate the incidence of influenza-like illness (ILI) from the Google Trends (GT) related to influenza. ILI surveillance data from 2012 through 2013 were obtained from the National Health Surveillance System, Argentina. Internet search data were downloaded from the GT search engine database using 6 influenza-related queries: flu, fever, cough, sore throat, paracetamol, and ibuprofen. A Poisson regression model was developed to compare surveillance data and internet search trends for the year 2012. The model's results were validated using surveillance data for the year 2013 and results of the Google Flu Trends (GFT) tool. ILI incidence from the surveillance system showed strong correlations with ILI estimates from the GT model (r = 0.927) and from the GFT tool (r = 0.943). However, the GFT tool overestimates (by nearly twofold) the highest ILI incidence, while the GT model underestimates the highest incidence by a factor of 0.7. These results demonstrate the utility of GT to complement influenza surveillance. |
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 % |
|---|---|---|
| Unknown | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 9% |
| Professor | 4 | 9% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 29 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Economics, Econometrics and Finance | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 28 | 60% |
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 07 May 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Cadernos de Saúde Pública
#1,382
of 1,855 outputs
Outputs of similar age
#207,736
of 279,170 outputs
Outputs of similar age from Cadernos de Saúde Pública
#20
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,855 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 15th percentile – i.e., 15% 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 279,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.