Report for: Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world

Title	Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world
Published in	Nature Human Behaviour, June 2020
DOI	10.1038/s41562-020-0898-6
Pubmed ID	32499576
Authors	Per Block, Marion Hoffman, Isabel J. Raabe, Jennifer Beam Dowd, Charles Rahal, Ridhi Kashyap, Melinda C. Mills

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Twitter Demographics

The data shown below were collected from the profiles of 1,003 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	180	18%
Colombia	87	9%
Canada	59	6%
Spain	51	5%
United Kingdom	47	5%
Brazil	33	3%
Argentina	20	2%
Germany	17	2%
Mexico	10	<1%
Other	110	11%
Unknown	389	39%

Demographic breakdown

Type	Count	As %
Members of the public	736	73%
Scientists	186	19%
Practitioners (doctors, other healthcare professionals)	51	5%
Science communicators (journalists, bloggers, editors)	30	3%

Mendeley readers

The data shown below were compiled from readership statistics for 673 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	673	100%

Demographic breakdown

Readers by professional status	Count	As %
Researcher	103	15%
Student > Master	86	13%
Student > Ph. D. Student	78	12%
Student > Bachelor	61	9%
Professor > Associate Professor	33	5%
Other	150	22%
Unknown	162	24%

Readers by discipline	Count	As %
Social Sciences	74	11%
Medicine and Dentistry	59	9%
Engineering	43	6%
Computer Science	42	6%
Psychology	35	5%
Other	221	33%
Unknown	199	30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2310. 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 07 April 2022.

All research outputs

#3,231

of 23,936,280 outputs

Outputs from Nature Human Behaviour

#15

of 1,513 outputs

Outputs of similar age

#224

of 400,613 outputs

Outputs of similar age from Nature Human Behaviour

of 48 outputs

Altmetric has tracked 23,936,280 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 1,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 161.0. This one has done particularly well, scoring higher than 99% 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 400,613 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 99% of its contemporaries.

We're also able to compare this research output to 48 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 93% of its contemporaries.

Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world

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