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Application of clinical pathway using electronic medical record system in pediatric patients with supracondylar fracture of the humerus: a before and after comparative study

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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Title
Application of clinical pathway using electronic medical record system in pediatric patients with supracondylar fracture of the humerus: a before and after comparative study
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-87
Pubmed ID
Authors

Ki Hyuk Sung, Chin Youb Chung, Kyoung Min Lee, Seung Yeol Lee, Soyeon Ahn, Somin Park, In Ho Choi, Tae-Joon Cho, Won Joon Yoo, Jung Hyun Lee, Moon Seok Park

Abstract

This study was performed to investigate the usefulness of clinical pathway (CP) using an electronic medical record (EMR) in pediatric patients undergoing closed pinning for supracondylar fracture of the humerus, by analyzing the length of hospital stay, hospital cost and satisfaction of the medical teams.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Researcher 11 13%
Student > Doctoral Student 8 10%
Student > Bachelor 7 9%
Student > Ph. D. Student 5 6%
Other 19 23%
Unknown 17 21%
Readers by discipline Count As %
Medicine and Dentistry 26 32%
Nursing and Health Professions 12 15%
Social Sciences 4 5%
Computer Science 3 4%
Agricultural and Biological Sciences 2 2%
Other 9 11%
Unknown 26 32%
Attention Score in Context

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 12 August 2013.
All research outputs
#18,343,746
of 22,716,996 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,565
of 1,982 outputs
Outputs of similar age
#147,819
of 197,548 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#36
of 41 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 197,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.