| Title |
Regional Level Influenza Study with Geo-Tagged Twitter Data
|
|---|---|
| Published in |
Journal of Medical Systems, July 2016
|
| DOI | 10.1007/s10916-016-0545-y |
| Pubmed ID | |
| Authors |
Feng Wang, Haiyan Wang, Kuai Xu, Ross Raymond, Jaime Chon, Shaun Fuller, Anton Debruyn |
| Abstract |
The rich data generated and read by millions of users on social media tells what is happening in the real world in a rapid and accurate fashion. In recent years many researchers have explored real-time streaming data from Twitter for a broad range of applications, including predicting stock markets and public health trend. In this paper we design, implement, and evaluate a prototype system to collect and analyze influenza statuses over different geographical locations with real-time tweet streams. We investigate the correlation between the Twitter flu counts and the official statistics from the Center for Disease Control and Prevention (CDC) and discover that real-time tweet streams capture the dynamics of influenza cases at both national and regional level and could potentially serve as an early warning system of influenza epidemics. Furthermore, we propose a dynamic mathematical model which can forecast Twitter flu counts with high accuracy. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 29% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Portugal | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 26% |
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 14 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 29% |
| Medicine and Dentistry | 11 | 16% |
| Social Sciences | 5 | 7% |
| Engineering | 4 | 6% |
| Business, Management and Accounting | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 July 2017.
All research outputs
#6,876,154
of 22,880,230 outputs
Outputs from Journal of Medical Systems
#249
of 1,153 outputs
Outputs of similar age
#112,659
of 350,781 outputs
Outputs of similar age from Journal of Medical Systems
#9
of 26 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,153 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 78% of its peers.
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 350,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.