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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying nurse staffing research in Medline: development and testing of empirically derived search strategies with the PubMed interface
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2010
|
| DOI | 10.1186/1471-2288-10-76 |
| Pubmed ID | |
| Authors |
Michael Simon, Elke Hausner, Susan F Klaus, Nancy E Dunton |
| Abstract |
The identification of health services research in databases such as PubMed/Medline is a cumbersome task. This task becomes even more difficult if the field of interest involves the use of diverse methods and data sources, as is the case with nurse staffing research. This type of research investigates the association between nurse staffing parameters and nursing and patient outcomes. A comprehensively developed search strategy may help identify nurse staffing research in PubMed/Medline. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 48 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Librarian | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Professor | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 11 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 25% |
| Nursing and Health Professions | 9 | 17% |
| Business, Management and Accounting | 3 | 6% |
| Social Sciences | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 15 | 29% |
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 11 December 2014.
All research outputs
#14,770,397
of 22,738,543 outputs
Outputs from BMC Medical Research Methodology
#1,439
of 2,005 outputs
Outputs of similar age
#75,957
of 94,844 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 13 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 25th percentile – i.e., 25% 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 94,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.