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A comparison of electronic health records at two major Peking University Hospitals in China to United States meaningful use objectives

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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7 X users

Citations

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33 Dimensions

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81 Mendeley
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Title
A comparison of electronic health records at two major Peking University Hospitals in China to United States meaningful use objectives
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-96
Pubmed ID
Authors

Jianbo Lei, Paulina Sockolow, Pengcheng Guan, Qun Meng, Jiajie Zhang

Abstract

In accordance with the People's Republic of China's (China) National Health Reform Plan of 2009, two of the nation's leading hospitals, located in Beijing, have implemented electronic medical record (EMR) systems from different vendors.To inform future EMR adoption and policy in China, as well as informatics research in the US, this study compared the United State's Hospital Meaningful Use (MU) Objectives (phase 1) objectives to the EMR functionality of two early hospital EMR adopters in China.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Indonesia 1 1%
Malaysia 1 1%
Unknown 75 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 19%
Researcher 12 15%
Student > Doctoral Student 7 9%
Student > Bachelor 7 9%
Student > Postgraduate 4 5%
Other 16 20%
Unknown 20 25%
Readers by discipline Count As %
Medicine and Dentistry 17 21%
Computer Science 16 20%
Nursing and Health Professions 9 11%
Social Sciences 5 6%
Mathematics 2 2%
Other 9 11%
Unknown 23 28%
Attention Score in Context

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 03 September 2013.
All research outputs
#7,157,378
of 25,398,331 outputs
Outputs from BMC Medical Informatics and Decision Making
#636
of 2,141 outputs
Outputs of similar age
#58,327
of 212,191 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 46 outputs
Altmetric has tracked 25,398,331 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,141 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 212,191 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 72% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.