↓ Skip to main content

Words prediction based on N-gram model for free-text entry in electronic health records

Overview of attention for article published in Health Information Science and Systems, February 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
40 Mendeley
Title
Words prediction based on N-gram model for free-text entry in electronic health records
Published in
Health Information Science and Systems, February 2019
DOI 10.1007/s13755-019-0065-5
Pubmed ID
Authors

Azita Yazdani, Reza Safdari, Ali Golkar, Sharareh R. Niakan Kalhori

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

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Ph. D. Student 5 13%
Other 3 8%
Student > Doctoral Student 3 8%
Unspecified 3 8%
Other 7 18%
Unknown 12 30%
Readers by discipline Count As %
Computer Science 7 18%
Engineering 5 13%
Medicine and Dentistry 4 10%
Unspecified 3 8%
Nursing and Health Professions 2 5%
Other 4 10%
Unknown 15 38%
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 20 March 2019.
All research outputs
#20,561,572
of 23,136,540 outputs
Outputs from Health Information Science and Systems
#74
of 97 outputs
Outputs of similar age
#304,505
of 353,532 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 2 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% 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 353,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them