| Title |
Hospital Epidemics Tracker (HEpiTracker): Description and Pilot Study of a Mobile App to Track COVID-19 in Hospital Workers
|
|---|---|
| Published in |
JMIR Public Health and Surveillance, September 2020
|
| DOI | 10.2196/21653 |
| Pubmed ID | |
| Authors |
Joan B Soriano, Esteve Fernández, Álvaro de Astorza, Luis A Pérez de Llano, Alberto Fernández-Villar, Dolors Carnicer-Pont, Bernardino Alcázar-Navarrete, Arturo García, Aurelio Morales, María Lobo, Marcos Maroto, Eloy Ferreras, Cecilia Soriano, Carlos Del Rio-Bermudez, Lorena Vega-Piris, Xavier Basagaña, Josep Muncunill, Borja G Cosio, Sara Lumbreras, Carlos Catalina, José María Alzaga, David Gómez Quilón, Carlos Alberto Valdivia, Celia de Lara, Julio Ancochea |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 11% |
| Other | 11 | 10% |
| Student > Bachelor | 9 | 8% |
| Librarian | 8 | 7% |
| Student > Ph. D. Student | 8 | 7% |
| Other | 24 | 21% |
| Unknown | 40 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 17% |
| Nursing and Health Professions | 16 | 14% |
| Computer Science | 8 | 7% |
| Social Sciences | 6 | 5% |
| Psychology | 3 | 3% |
| Other | 14 | 13% |
| Unknown | 46 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 10 December 2020.
All research outputs
#3,618,981
of 23,243,271 outputs
Outputs from JMIR Public Health and Surveillance
#264
of 1,066 outputs
Outputs of similar age
#89,294
of 408,695 outputs
Outputs of similar age from JMIR Public Health and Surveillance
#17
of 53 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 75% 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 408,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.