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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2011
|
| DOI | 10.1186/1472-6947-11-2 |
| Pubmed ID | |
| Authors |
Franklin Dexter, Ruth E Wachtel, Richard H Epstein |
| Abstract |
No systematic process has previously been described for a needs assessment that identifies the operating room (OR) management decisions made by the anesthesiologists and nurse managers at a facility that do not maximize the efficiency of use of OR time. We evaluated whether event-based knowledge elicitation can be used practically for rapid assessment of OR management decision-making at facilities, whether scenarios can be adapted automatically from information systems data, and the usefulness of the approach. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 67% |
| India | 1 | 33% |
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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Portugal | 2 | 3% |
| Canada | 2 | 3% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 62 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Researcher | 11 | 15% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Doctoral Student | 7 | 10% |
| Student > Bachelor | 4 | 6% |
| Other | 15 | 21% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 24% |
| Computer Science | 11 | 15% |
| Engineering | 6 | 8% |
| Business, Management and Accounting | 6 | 8% |
| Nursing and Health Professions | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 15 | 21% |
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 07 August 2013.
All research outputs
#14,143,536
of 22,663,969 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,978 outputs
Outputs of similar age
#136,225
of 180,326 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 9 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 180,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.