| Title |
The unequal effects of the health–economy trade-off during the COVID-19 pandemic
|
|---|---|
| Published in |
Nature Human Behaviour, November 2023
|
| DOI | 10.1038/s41562-023-01747-x |
| Pubmed ID | |
| Authors |
Marco Pangallo, Alberto Aleta, R. Maria del Rio-Chanona, Anton Pichler, David Martín-Corral, Matteo Chinazzi, François Lafond, Marco Ajelli, Esteban Moro, Yamir Moreno, Alessandro Vespignani, J. Doyne Farmer |
X Demographics
The data shown below were collected from the profiles of 102 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 | 10 | 10% |
| Italy | 8 | 8% |
| Spain | 7 | 7% |
| United Kingdom | 5 | 5% |
| Canada | 5 | 5% |
| Sweden | 2 | 2% |
| Austria | 2 | 2% |
| France | 2 | 2% |
| Hong Kong | 1 | <1% |
| Other | 11 | 11% |
| Unknown | 49 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 60 | 59% |
| Scientists | 36 | 35% |
| Practitioners (doctors, other healthcare professionals) | 5 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 12 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Physics and Astronomy | 3 | 11% |
| Social Sciences | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 5 | 18% |
| Unknown | 13 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 275. 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 06 March 2024.
All research outputs
#133,492
of 25,843,331 outputs
Outputs from Nature Human Behaviour
#250
of 1,751 outputs
Outputs of similar age
#2,136
of 343,990 outputs
Outputs of similar age from Nature Human Behaviour
#10
of 74 outputs
Altmetric has tracked 25,843,331 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 1,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 160.4. This one has done well, scoring higher than 85% 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 343,990 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 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.