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X Demographics
Mendeley readers
Attention Score in Context
Title |
OMG U got flu? Analysis of shared health messages for bio-surveillance
|
---|---|
Published in |
Journal of Biomedical Semantics, October 2011
|
DOI | 10.1186/2041-1480-2-s5-s9 |
Pubmed ID | |
Authors |
Nigel Collier, Nguyen Truong Son, Ngoc Mai Nguyen |
Abstract |
Micro-blogging services such as Twitter offer the potential to crowdsource epidemics in real-time. However, Twitter posts ('tweets') are often ambiguous and reactive to media trends. In order to ground user messages in epidemic response we focused on tracking reports of self-protective behaviour such as avoiding public gatherings or increased sanitation as the basis for further risk analysis. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
Hungary | 1 | 6% |
Unknown | 11 | 61% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 83% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
Switzerland | 2 | 1% |
Pakistan | 1 | <1% |
Korea, Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 137 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 26 | 18% |
Student > Ph. D. Student | 22 | 15% |
Researcher | 14 | 10% |
Other | 8 | 5% |
Student > Bachelor | 7 | 5% |
Other | 20 | 14% |
Unknown | 49 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 18% |
Medicine and Dentistry | 23 | 16% |
Social Sciences | 11 | 8% |
Agricultural and Biological Sciences | 9 | 6% |
Arts and Humanities | 4 | 3% |
Other | 19 | 13% |
Unknown | 53 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 16 April 2012.
All research outputs
#1,701,012
of 25,374,917 outputs
Outputs from Journal of Biomedical Semantics
#9
of 368 outputs
Outputs of similar age
#8,027
of 145,919 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 145,919 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them