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Attention Score in Context
Title |
The preferences of users of electronic medical records in hospitals: quantifying the relative importance of barriers and facilitators of an innovation
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Published in |
Implementation Science, June 2014
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DOI | 10.1186/1748-5908-9-69 |
Pubmed ID | |
Authors |
Marjolijn HL Struik, Ferry Koster, A Jantine Schuit, Rutger Nugteren, Jorien Veldwijk, Mattijs S Lambooij |
Abstract |
Currently electronic medical records (EMRs) are implemented in hospitals, because of expected benefits for quality and safety of care. However the implementation processes are not unproblematic and are slower than needed. Many of the barriers and facilitators of the adoption of EMRs are identified, but the relative importance of these factors is still undetermined. This paper quantifies the relative importance of known barriers and facilitators of EMR, experienced by the users (i.e., nurses and physicians in hospitals). |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 22% |
United States | 2 | 22% |
Netherlands | 1 | 11% |
Argentina | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 44% |
Practitioners (doctors, other healthcare professionals) | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
Canada | 2 | 1% |
Argentina | 1 | <1% |
Unknown | 177 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 16% |
Student > Master | 29 | 16% |
Researcher | 24 | 13% |
Student > Postgraduate | 11 | 6% |
Student > Doctoral Student | 11 | 6% |
Other | 32 | 18% |
Unknown | 46 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 23% |
Nursing and Health Professions | 18 | 10% |
Computer Science | 17 | 9% |
Business, Management and Accounting | 15 | 8% |
Social Sciences | 14 | 8% |
Other | 25 | 14% |
Unknown | 52 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 June 2016.
All research outputs
#6,887,757
of 25,311,095 outputs
Outputs from Implementation Science
#1,096
of 1,798 outputs
Outputs of similar age
#60,114
of 234,838 outputs
Outputs of similar age from Implementation Science
#24
of 41 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 234,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.