↓ Skip to main content

Machine learning in medicine: a practical introduction to natural language processing

Overview of attention for article published in BMC Medical Research Methodology, July 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
2 news outlets
twitter
9 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
271 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
Machine learning in medicine: a practical introduction to natural language processing
Published in
BMC Medical Research Methodology, July 2021
DOI 10.1186/s12874-021-01347-1
Pubmed ID
Authors

Conrad J. Harrison, Chris J. Sidey-Gibbons

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 271 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 10%
Student > Ph. D. Student 24 9%
Student > Bachelor 21 8%
Researcher 19 7%
Unspecified 11 4%
Other 36 13%
Unknown 133 49%
Readers by discipline Count As %
Computer Science 27 10%
Medicine and Dentistry 23 8%
Engineering 21 8%
Unspecified 11 4%
Biochemistry, Genetics and Molecular Biology 7 3%
Other 45 17%
Unknown 137 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 February 2024.
All research outputs
#2,010,450
of 25,377,790 outputs
Outputs from BMC Medical Research Methodology
#261
of 2,273 outputs
Outputs of similar age
#47,407
of 440,556 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 45 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,273 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 88% 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 440,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.