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Natural language processing of radiology reports for identification of skeletal site-specific fractures

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Natural language processing of radiology reports for identification of skeletal site-specific fractures
Published in
BMC Medical Informatics and Decision Making, April 2019
DOI 10.1186/s12911-019-0780-5
Pubmed ID
Authors

Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 14%
Student > Master 8 9%
Student > Bachelor 8 9%
Student > Doctoral Student 5 6%
Professor 4 5%
Other 15 17%
Unknown 34 40%
Readers by discipline Count As %
Computer Science 11 13%
Medicine and Dentistry 10 12%
Nursing and Health Professions 4 5%
Psychology 4 5%
Social Sciences 4 5%
Other 15 17%
Unknown 38 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 August 2022.
All research outputs
#3,286,961
of 23,056,273 outputs
Outputs from BMC Medical Informatics and Decision Making
#284
of 2,010 outputs
Outputs of similar age
#74,036
of 351,312 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 46 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,010 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% 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 351,312 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 78% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.