| Title |
COVID-19 and Sick Leave: An Analysis of the Ibermutua Cohort of Over 1,651,305 Spanish Workers in the First Trimester of 2020
|
|---|---|
| Published in |
Frontiers in Public Health, October 2020
|
| DOI | 10.3389/fpubh.2020.580546 |
| Pubmed ID | |
| Authors |
Eva Calvo-Bonacho, Carlos Catalina-Romero, Carlos Fernández-Labandera, Ana Fernández-Meseguer, Arturo González-Quintela, Paloma Martínez-Muñoz, Luis Quevedo, Pedro Valdivielso, Miguel Ángel Sánchez-Chaparro |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 8% |
| Other | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 24 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 34% |
| Social Sciences | 4 | 8% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 22 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 October 2020.
All research outputs
#20,658,463
of 23,253,955 outputs
Outputs from Frontiers in Public Health
#7,967
of 10,729 outputs
Outputs of similar age
#358,274
of 419,318 outputs
Outputs of similar age from Frontiers in Public Health
#294
of 362 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,729 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 419,318 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.