| Title |
Mental health concerns precede quits: shifts in the work discourse during the Covid-19 pandemic and great resignation
|
|---|---|
| Published in |
EPJ Data Science, October 2023
|
| DOI | 10.1140/epjds/s13688-023-00417-2 |
| Pubmed ID | |
| Authors |
R. Maria del Rio-Chanona, Alejandro Hermida-Carrillo, Melody Sepahpour-Fard, Luning Sun, Renata Topinkova, Ljubica Nedelkoska |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 4 | 22% |
| United Kingdom | 3 | 17% |
| United States | 2 | 11% |
| Hungary | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 8 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 20% |
| Economics, Econometrics and Finance | 1 | 20% |
| Social Sciences | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 May 2024.
All research outputs
#1,219,227
of 25,543,275 outputs
Outputs from EPJ Data Science
#102
of 449 outputs
Outputs of similar age
#20,831
of 356,685 outputs
Outputs of similar age from EPJ Data Science
#4
of 15 outputs
Altmetric has tracked 25,543,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.1. This one has done well, scoring higher than 77% 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 356,685 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 94% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.