| 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 | |
| Authors |
Per Block, Marion Hoffman, Isabel J. Raabe, Jennifer Beam Dowd, Charles Rahal, Ridhi Kashyap, Melinda C. Mills |
X Demographics
The data shown below were collected from the profiles of 972 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 | 162 | 17% |
| Colombia | 85 | 9% |
| Canada | 55 | 6% |
| Spain | 47 | 5% |
| United Kingdom | 42 | 4% |
| Brazil | 29 | 3% |
| Argentina | 16 | 2% |
| Germany | 15 | 2% |
| Mexico | 10 | 1% |
| Other | 100 | 10% |
| Unknown | 411 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 710 | 73% |
| Scientists | 185 | 19% |
| Practitioners (doctors, other healthcare professionals) | 47 | 5% |
| Science communicators (journalists, bloggers, editors) | 30 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 695 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 695 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 105 | 15% |
| Student > Master | 86 | 12% |
| Student > Ph. D. Student | 78 | 11% |
| Student > Bachelor | 61 | 9% |
| Student > Doctoral Student | 33 | 5% |
| Other | 147 | 21% |
| Unknown | 185 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 80 | 12% |
| Medicine and Dentistry | 59 | 8% |
| Engineering | 44 | 6% |
| Computer Science | 42 | 6% |
| Psychology | 36 | 5% |
| Other | 212 | 31% |
| Unknown | 222 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2278. 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
#3,538
of 24,930,865 outputs
Outputs from Nature Human Behaviour
#16
of 1,657 outputs
Outputs of similar age
#224
of 403,361 outputs
Outputs of similar age from Nature Human Behaviour
#4
of 48 outputs
Altmetric has tracked 24,930,865 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 1,657 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 160.2. 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 403,361 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.