Report for: Accounting for behavioral responses during a flu epidemic using home television viewing

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

Title	Accounting for behavioral responses during a flu epidemic using home television viewing
Published in	BMC Infectious Diseases, January 2015
DOI	10.1186/s12879-014-0691-0
Pubmed ID	25616673
Authors	Michael Springborn, Gerardo Chowell, Matthew MacLachlan, Eli P Fenichel
Abstract	Theory suggests that individual behavioral responses impact the spread of flu-like illnesses, but this has been difficult to empirically characterize. Social distancing is an important component of behavioral response, though analyses have been limited by a lack of behavioral data. Our objective is to use media data to characterize social distancing behavior in order to empirically inform explanatory and predictive epidemiological models.

View on publisher site Alert me about new mentions

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United Kingdom	3	38%
Canada	1	13%
United States	1	13%
Unknown	3	38%

Demographic breakdown

Type	Count	As %
Members of the public	5	63%
Scientists	3	38%

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
United States	3	3%
Chile	1	1%
Unknown	96	96%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	20	20%
Student > Master	18	18%
Student > Bachelor	9	9%
Researcher	8	8%
Professor	7	7%
Other	15	15%
Unknown	23	23%

Readers by discipline	Count	As %
Medicine and Dentistry	13	13%
Nursing and Health Professions	8	8%
Mathematics	8	8%
Agricultural and Biological Sciences	6	6%
Social Sciences	6	6%
Other	26	26%
Unknown	33	33%

Attention Score in Context

This research output has an Altmetric Attention Score of 102. 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 19 April 2022.

All research outputs

#348,225

of 22,778,347 outputs

Outputs from BMC Infectious Diseases

#79

of 7,670 outputs

Outputs of similar age

#4,788

of 351,530 outputs

Outputs of similar age from BMC Infectious Diseases

of 178 outputs

Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 7,670 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 98% 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 351,530 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 98% of its contemporaries.

We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.

Accounting for behavioral responses during a flu epidemic using home television viewing

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context