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US Diagnosis of UCL Tears of the Thumb and Stener Lesions: Technique, Pattern-based Approach, and Differential Diagnosis1

Overview of attention for article published in RadioGraphics, July 2006
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
104 Mendeley
citeulike
1 CiteULike
connotea
3 Connotea
Title
US Diagnosis of UCL Tears of the Thumb and Stener Lesions: Technique, Pattern-based Approach, and Differential Diagnosis1
Published in
RadioGraphics, July 2006
DOI 10.1148/rg.264055117
Pubmed ID
Authors

Farhad S. Ebrahim, Ebrahim FS, De Maeseneer M, Jager T, Marcelis S, Jamadar DA, Jacobson JA, Michel De Maeseneer, Tjeerd Jager, Stefaan Marcelis, David A. Jamadar, Jon A. Jacobson

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
Brazil 2 2%
Spain 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 96 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Other 18 17%
Student > Postgraduate 13 13%
Professor > Associate Professor 13 13%
Student > Ph. D. Student 9 9%
Other 28 27%
Readers by discipline Count As %
Medicine and Dentistry 94 90%
Unspecified 6 6%
Social Sciences 2 2%
Agricultural and Biological Sciences 1 <1%
Engineering 1 <1%
Other 0 0%

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 12 March 2018.
All research outputs
#969,039
of 11,342,375 outputs
Outputs from RadioGraphics
#112
of 1,472 outputs
Outputs of similar age
#30,857
of 247,101 outputs
Outputs of similar age from RadioGraphics
#7
of 34 outputs
Altmetric has tracked 11,342,375 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,472 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 247,101 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 87% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.