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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nurse employment contracts in Chinese hospitals: impact of inequitable benefit structures on nurse and patient satisfaction
|
|---|---|
| Published in |
Human Resources for Health, January 2014
|
| DOI | 10.1186/1478-4491-12-1 |
| Pubmed ID | |
| Authors |
Jingjing Shang, Liming You, Chenjuan Ma, Danielle Altares, Douglas M Sloane, Linda H Aiken |
| Abstract |
Ongoing economic and health system reforms in China have transformed nurse employment in Chinese hospitals. Employment of 'bianzhi' nurses, a type of position with state-guaranteed lifetime employment that has been customary since 1949, is decreasing while there is an increase in the contract-based nurse employment with limited job security and reduced benefits. The consequences of inequities between the two types of nurses in terms of wages and job-related benefits are unknown. This study examined current rates of contract-based nurse employment and the effects of the new nurse contract employment strategy on nurse and patient outcomes in Chinese hospitals. |
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 | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| United Kingdom | 1 | <1% |
| Unknown | 168 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 17% |
| Lecturer | 23 | 13% |
| Student > Doctoral Student | 14 | 8% |
| Student > Ph. D. Student | 10 | 6% |
| Researcher | 9 | 5% |
| Other | 34 | 20% |
| Unknown | 52 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 55 | 32% |
| Medicine and Dentistry | 22 | 13% |
| Social Sciences | 11 | 6% |
| Business, Management and Accounting | 6 | 4% |
| Psychology | 4 | 2% |
| Other | 14 | 8% |
| Unknown | 59 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 01 February 2014.
All research outputs
#1,089,355
of 25,374,647 outputs
Outputs from Human Resources for Health
#73
of 1,261 outputs
Outputs of similar age
#11,761
of 320,224 outputs
Outputs of similar age from Human Resources for Health
#3
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 94% 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 320,224 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 96% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.