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A UMLS-based spell checker for natural language processing in vaccine safety

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2007
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
patent
1 patent

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
84 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
A UMLS-based spell checker for natural language processing in vaccine safety
Published in
BMC Medical Informatics and Decision Making, February 2007
DOI 10.1186/1472-6947-7-3
Pubmed ID
Authors

Herman D Tolentino, Michael D Matters, Wikke Walop, Barbara Law, Wesley Tong, Fang Liu, Paul Fontelo, Katrin Kohl, Daniel C Payne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 1 1%
Austria 1 1%
Brazil 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Researcher 12 14%
Student > Master 12 14%
Other 8 10%
Student > Bachelor 5 6%
Other 18 21%
Unknown 16 19%
Readers by discipline Count As %
Computer Science 32 38%
Medicine and Dentistry 17 20%
Engineering 6 7%
Business, Management and Accounting 4 5%
Nursing and Health Professions 2 2%
Other 7 8%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 10 May 2022.
All research outputs
#2,981,811
of 24,549,201 outputs
Outputs from BMC Medical Informatics and Decision Making
#214
of 2,087 outputs
Outputs of similar age
#11,755
of 169,051 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 6 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,087 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% 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 169,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 6 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