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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Mobile Phone–Based Intervention to Reduce Mental Health Problems in Health Care Workers During the COVID-19 Pandemic (PsyCovidApp): Randomized Controlled Trial
|
|---|---|
| Published in |
JMIR mHealth and uHealth, May 2021
|
| DOI | 10.2196/27039 |
| Pubmed ID | |
| Authors |
Maria Antònia Fiol-DeRoque, Maria Jesús Serrano-Ripoll, Rafael Jiménez, Rocío Zamanillo-Campos, Aina María Yáñez-Juan, Miquel Bennasar-Veny, Alfonso Leiva, Elena Gervilla, M Esther García-Buades, Mauro García-Toro, Pablo Alonso-Coello, Guadalupe Pastor-Moreno, Isabel Ruiz-Pérez, Carolina Sitges, Javier García-Campayo, Joan Llobera-Cánaves, Ignacio Ricci-Cabello |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| Japan | 4 | 25% |
| Canada | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 386 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 9% |
| Student > Bachelor | 28 | 7% |
| Researcher | 27 | 7% |
| Student > Doctoral Student | 16 | 4% |
| Other | 15 | 4% |
| Other | 67 | 17% |
| Unknown | 198 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 12% |
| Nursing and Health Professions | 39 | 10% |
| Psychology | 24 | 6% |
| Unspecified | 13 | 3% |
| Social Sciences | 9 | 2% |
| Other | 41 | 11% |
| Unknown | 212 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 28 February 2023.
All research outputs
#1,653,634
of 25,600,774 outputs
Outputs from JMIR mHealth and uHealth
#267
of 2,577 outputs
Outputs of similar age
#42,440
of 457,908 outputs
Outputs of similar age from JMIR mHealth and uHealth
#9
of 106 outputs
Altmetric has tracked 25,600,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 89% 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 457,908 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 90% of its contemporaries.
We're also able to compare this research output to 106 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 92% of its contemporaries.