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X Demographics
Mendeley readers
Attention Score in Context
Title |
Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, September 2008
|
DOI | 10.1186/1472-6947-8-39 |
Pubmed ID | |
Authors |
Ruben Amarasingham, Marie Diener-West, Laura Plantinga, Aaron C Cunningham, Darrell J Gaskin, Neil R Powe |
Abstract |
A hospital's clinical information system may require a specific environment in which to flourish. This environment is not yet well defined. We examined whether specific hospital characteristics are associated with highly automated and usable clinical information systems. |
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 % |
---|---|---|
United States | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 2% |
Indonesia | 1 | 2% |
Iran, Islamic Republic of | 1 | 2% |
Thailand | 1 | 2% |
United States | 1 | 2% |
Unknown | 42 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 23% |
Student > Master | 6 | 13% |
Researcher | 5 | 11% |
Student > Bachelor | 5 | 11% |
Lecturer | 3 | 6% |
Other | 12 | 26% |
Unknown | 5 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 21% |
Computer Science | 8 | 17% |
Business, Management and Accounting | 7 | 15% |
Nursing and Health Professions | 6 | 13% |
Social Sciences | 3 | 6% |
Other | 8 | 17% |
Unknown | 5 | 11% |
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 19 December 2012.
All research outputs
#15,258,711
of 22,689,790 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,306
of 1,980 outputs
Outputs of similar age
#74,431
of 87,412 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 12 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 87,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.