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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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 10 14%
Student > Doctoral Student 8 11%
Student > Bachelor 7 10%
Other 5 7%
Other 18 25%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 26 36%
Nursing and Health Professions 11 15%
Social Sciences 4 5%
Computer Science 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 10%
Unknown 20 27%

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
#3,037,103
of 4,508,612 outputs
Outputs from BMC Medical Informatics and Decision Making
#608
of 754 outputs
Outputs of similar age
#60,437
of 90,554 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 31 outputs
Altmetric has tracked 4,508,612 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 2nd percentile – i.e., 2% 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 90,554 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 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.