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 |
Using Quality Measures for Quality Improvement: The Perspective of Hospital Staff
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0086014 |
| Pubmed ID | |
| Authors |
Asgar Aghaei Hashjin, Hamid Ravaghi, Dionne S. Kringos, Uzor C. Ogbu, Claudia Fischer, Saeid Reza Azami, Niek S. Klazinga |
| Abstract |
This study examines the perspectives of a range of key hospital staff on the use, importance, scientific background, availability of data, feasibility of data collection, cost benefit aspects and availability of professional personnel for measurement of quality indicators among Iranian hospitals. The study aims to facilitate the use of quality indicators to improve quality of care in hospitals. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 118 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 24% |
| Researcher | 13 | 11% |
| Other | 10 | 8% |
| Student > Postgraduate | 7 | 6% |
| Student > Doctoral Student | 7 | 6% |
| Other | 24 | 20% |
| Unknown | 32 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 31 | 25% |
| Medicine and Dentistry | 24 | 20% |
| Social Sciences | 8 | 7% |
| Computer Science | 5 | 4% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 17 | 14% |
| Unknown | 34 | 28% |
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 02 May 2015.
All research outputs
#15,219,136
of 24,593,959 outputs
Outputs from PLOS ONE
#130,212
of 212,459 outputs
Outputs of similar age
#179,227
of 316,687 outputs
Outputs of similar age from PLOS ONE
#3,104
of 5,563 outputs
Altmetric has tracked 24,593,959 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 212,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 37th percentile – i.e., 37% 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 316,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,563 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.