| Title |
Predictors of Health-Related Quality of Life and Influencing Factors for COVID-19 Patients, a Follow-Up at One Month
|
|---|---|
| Published in |
Frontiers in Psychiatry, July 2020
|
| DOI | 10.3389/fpsyt.2020.00668 |
| Pubmed ID | |
| Authors |
Ke-Yang Chen, Ting Li, Fang-Hua Gong, Jin-San Zhang, Xiao-Kun Li |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 20% |
| United Kingdom | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 381 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 46 | 12% |
| Student > Master | 45 | 12% |
| Researcher | 27 | 7% |
| Student > Postgraduate | 19 | 5% |
| Student > Ph. D. Student | 19 | 5% |
| Other | 68 | 18% |
| Unknown | 157 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 82 | 22% |
| Nursing and Health Professions | 45 | 12% |
| Psychology | 20 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 2% |
| Computer Science | 6 | 2% |
| Other | 47 | 12% |
| Unknown | 172 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 July 2020.
All research outputs
#14,201,324
of 23,217,343 outputs
Outputs from Frontiers in Psychiatry
#4,459
of 10,339 outputs
Outputs of similar age
#213,168
of 396,950 outputs
Outputs of similar age from Frontiers in Psychiatry
#193
of 384 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 54% 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 396,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.