↓ Skip to main content

Does Computerized Physician Order Entry Benefit from Dynamic Structured Data Entry? A Quasi-Experimental Study

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Does Computerized Physician Order Entry Benefit from Dynamic Structured Data Entry? A Quasi-Experimental Study
Published in
BMC Medical Informatics and Decision Making, November 2018
DOI 10.1186/s12911-018-0709-4
Pubmed ID
Authors

George Linn, Yung-Hsiang Ying, Koyin Chang

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 12%
Student > Master 2 12%
Student > Ph. D. Student 2 12%
Student > Bachelor 2 12%
Unspecified 1 6%
Other 3 18%
Unknown 5 29%
Readers by discipline Count As %
Engineering 2 12%
Medicine and Dentistry 2 12%
Nursing and Health Professions 2 12%
Computer Science 1 6%
Business, Management and Accounting 1 6%
Other 2 12%
Unknown 7 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 November 2018.
All research outputs
#9,762,846
of 15,923,161 outputs
Outputs from BMC Medical Informatics and Decision Making
#939
of 1,451 outputs
Outputs of similar age
#217,035
of 390,380 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#50
of 83 outputs
Altmetric has tracked 15,923,161 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,451 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 31st percentile – i.e., 31% 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 390,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.