| Title |
Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic
|
|---|---|
| Published in |
BMC Public Health, June 2019
|
| DOI | 10.1186/s12889-019-7103-8 |
| Pubmed ID | |
| Authors |
Shahir Masri, Jianfeng Jia, Chen Li, Guofa Zhou, Ming-Chieh Lee, Guiyun Yan, Jun Wu |
X Demographics
The data shown below were collected from the profiles of 17 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 | 12% |
| Switzerland | 2 | 12% |
| Australia | 1 | 6% |
| France | 1 | 6% |
| Netherlands | 1 | 6% |
| Sweden | 1 | 6% |
| Thailand | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 76% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 15% |
| Researcher | 15 | 13% |
| Student > Ph. D. Student | 15 | 13% |
| Student > Bachelor | 10 | 9% |
| Professor > Associate Professor | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 33 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 18% |
| Medicine and Dentistry | 13 | 12% |
| Nursing and Health Professions | 6 | 5% |
| Social Sciences | 6 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 21 | 19% |
| Unknown | 43 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 November 2023.
All research outputs
#2,114,523
of 24,807,923 outputs
Outputs from BMC Public Health
#2,400
of 16,455 outputs
Outputs of similar age
#44,781
of 358,889 outputs
Outputs of similar age from BMC Public Health
#68
of 422 outputs
Altmetric has tracked 24,807,923 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 85% 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 358,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 422 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.