| Title |
“Pairing assistance”: the effective way to solve the breakdown of health services system caused by COVID-19 pandemic
|
|---|---|
| Published in |
International Journal for Equity in Health, May 2020
|
| DOI | 10.1186/s12939-020-01190-8 |
| Pubmed ID | |
| Authors |
Tianxiang Chen, Ying Wang, Lei Hua |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Master | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Bachelor | 8 | 11% |
| Other | 6 | 8% |
| Other | 16 | 22% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 28% |
| Nursing and Health Professions | 12 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Veterinary Science and Veterinary Medicine | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 15 | 21% |
| Unknown | 15 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 May 2020.
All research outputs
#13,441,305
of 23,207,489 outputs
Outputs from International Journal for Equity in Health
#1,339
of 1,940 outputs
Outputs of similar age
#189,120
of 387,676 outputs
Outputs of similar age from International Journal for Equity in Health
#42
of 54 outputs
Altmetric has tracked 23,207,489 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,940 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 29th percentile – i.e., 29% 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 387,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.