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A prototype of knowledge-based patient safety event reporting and learning system

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2018
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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5 Dimensions

Readers on

mendeley
50 Mendeley
Title
A prototype of knowledge-based patient safety event reporting and learning system
Published in
BMC Medical Informatics and Decision Making, December 2018
DOI 10.1186/s12911-018-0688-5
Pubmed ID
Authors

Hong Kang, Sicheng Zhou, Bin Yao, Yang Gong

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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 7 14%
Student > Doctoral Student 4 8%
Lecturer 2 4%
Student > Bachelor 2 4%
Other 8 16%
Unknown 20 40%
Readers by discipline Count As %
Nursing and Health Professions 11 22%
Computer Science 4 8%
Medicine and Dentistry 3 6%
Engineering 2 4%
Linguistics 1 2%
Other 6 12%
Unknown 23 46%
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 03 January 2019.
All research outputs
#18,000,271
of 23,117,738 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,519
of 2,013 outputs
Outputs of similar age
#304,435
of 436,549 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#36
of 49 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 436,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.