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Mendeley readers
Attention Score in Context
| Title |
FluMob: Enabling Surveillance of Acute Respiratory Infections in Health-care Workers via Mobile Phones
|
|---|---|
| Published in |
Frontiers in Public Health, March 2017
|
| DOI | 10.3389/fpubh.2017.00049 |
| Pubmed ID | |
| Authors |
May Oo Lwin, Chee Fu Yung, Peiling Yap, Karthikayen Jayasundar, Anita Sheldenkar, Kosala Subasinghe, Schubert Foo, Udeepa Gayantha Jayasinghe, Huarong Xu, Siaw Ching Chai, Ashwin Kurlye, Jie Chen, Brenda Sze Peng Ang |
| Abstract |
Singapore is a hotspot for emerging infectious diseases and faces a constant risk of pandemic outbreaks as a major travel and health hub for Southeast Asia. With an increasing penetration of smart phone usage in this region, Singapore's pandemic preparedness framework can be strengthened by applying a mobile-based approach to health surveillance and control, and improving upon existing ideas by addressing gaps, such as a lack of health communication. FluMob is a digitally integrated syndromic surveillance system designed to assist health authorities in obtaining real-time epidemiological and surveillance data from health-care workers (HCWs) within Singapore, by allowing them to report influenza incidence using smartphones. The system, integrating a fully responsive web-based interface and a mobile interface, is made available to HCW using various types of mobile devices and web browsers. Real-time data generated from FluMob will be complementary to current health-care- and laboratory-based systems. This paper describes the development of FluMob, as well as challenges faced in the creation of the system. |
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 % |
|---|---|---|
| Switzerland | 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 27% |
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Doctoral Student | 3 | 9% |
| Librarian | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 6 | 18% |
| Medicine and Dentistry | 5 | 15% |
| Agricultural and Biological Sciences | 3 | 9% |
| Computer Science | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Other | 9 | 27% |
| Unknown | 5 | 15% |
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 March 2017.
All research outputs
#20,738,791
of 23,339,727 outputs
Outputs from Frontiers in Public Health
#8,030
of 10,880 outputs
Outputs of similar age
#292,128
of 334,973 outputs
Outputs of similar age from Frontiers in Public Health
#90
of 92 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,880 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 1st percentile – i.e., 1% 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 334,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.