The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Night shifts, insomnia, anxiety, and depression among Chinese nurses during the COVID-19 pandemic remission period: A network approach
|
|---|---|
| Published in |
Frontiers in Public Health, December 2022
|
| DOI | 10.3389/fpubh.2022.1040298 |
| Pubmed ID | |
| Authors |
Pu Peng, Mining Liang, Qian Wang, Lulu Lu, Qiuxia Wu, Qiongni Chen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Student > Master | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 20 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 15% |
| Unspecified | 3 | 9% |
| Business, Management and Accounting | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 22 | 65% |
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 06 December 2022.
All research outputs
#18,945,451
of 24,147,581 outputs
Outputs from Frontiers in Public Health
#5,980
of 12,106 outputs
Outputs of similar age
#311,782
of 453,936 outputs
Outputs of similar age from Frontiers in Public Health
#561
of 1,364 outputs
Altmetric has tracked 24,147,581 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,106 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 43rd percentile – i.e., 43% 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 453,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,364 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 50% of its contemporaries.