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Attention Score in Context
Title |
How should social mixing be measured: comparing web-based survey and sensor-based methods
|
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Published in |
BMC Infectious Diseases, March 2014
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DOI | 10.1186/1471-2334-14-136 |
Pubmed ID | |
Authors |
Timo Smieszek, Victoria C Barclay, Indulaxmi Seeni, Jeanette J Rainey, Hongjiang Gao, Amra Uzicanin, Marcel Salathé |
Abstract |
Contact surveys and diaries have conventionally been used to measure contact networks in different settings for elucidating infectious disease transmission dynamics of respiratory infections. More recently, technological advances have permitted the use of wireless sensor devices, which can be worn by individuals interacting in a particular social context to record high resolution mixing patterns. To date, a direct comparison of these two different methods for collecting contact data has not been performed. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 20% |
United Kingdom | 1 | 10% |
Sweden | 1 | 10% |
Switzerland | 1 | 10% |
Bolivia, Plurinational State of | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Scientists | 1 | 10% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
United Kingdom | 2 | 2% |
Australia | 1 | 1% |
France | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 91 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 24% |
Researcher | 23 | 23% |
Student > Master | 11 | 11% |
Student > Postgraduate | 5 | 5% |
Student > Doctoral Student | 5 | 5% |
Other | 16 | 16% |
Unknown | 14 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 14% |
Agricultural and Biological Sciences | 10 | 10% |
Mathematics | 9 | 9% |
Social Sciences | 9 | 9% |
Physics and Astronomy | 6 | 6% |
Other | 27 | 28% |
Unknown | 23 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 26 April 2020.
All research outputs
#4,803,497
of 23,567,572 outputs
Outputs from BMC Infectious Diseases
#1,550
of 7,856 outputs
Outputs of similar age
#46,445
of 221,823 outputs
Outputs of similar age from BMC Infectious Diseases
#32
of 148 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 79% 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 221,823 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 78% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.