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Facilitating accurate health provider directories using natural language processing

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
33 Mendeley
Title
Facilitating accurate health provider directories using natural language processing
Published in
BMC Medical Informatics and Decision Making, April 2019
DOI 10.1186/s12911-019-0788-x
Pubmed ID
Authors

Matthew J. Cook, Lixia Yao, Xiaoyan Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Bachelor 5 15%
Researcher 3 9%
Other 1 3%
Student > Ph. D. Student 1 3%
Other 3 9%
Unknown 13 39%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Nursing and Health Professions 5 15%
Computer Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 15 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 March 2024.
All research outputs
#8,010,807
of 25,508,813 outputs
Outputs from BMC Medical Informatics and Decision Making
#743
of 2,147 outputs
Outputs of similar age
#140,097
of 364,965 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 47 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,147 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 64% 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 364,965 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 60% of its contemporaries.
We're also able to compare this research output to 47 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.