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A case of hypertrophic olivary degeneration after resection of cavernomas of the brain stem and review of the literature

Overview of attention for article published in Neuropsychiatric Disease and Treatment, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
Title
A case of hypertrophic olivary degeneration after resection of cavernomas of the brain stem and review of the literature
Published in
Neuropsychiatric Disease and Treatment, October 2015
DOI 10.2147/ndt.s90549
Pubmed ID
Authors

Yunyan Wang, Meng Zhang, Gengfan Ye, Lin Deng, Shuo Xu

Abstract

Hypertrophic olivary degeneration is a transsynaptic form of degeneration, which is also a result of primary or secondary lesion and can damage the dento-rubro-olivary pathway. The dento-rubro-olivary pathway was first described by Guillain and Mollaret and is referred to as "the triangle of Guillain and Mollaret". Multiple factors can destroy the dento-rubro-olivary pathway, such as surgical operation, hemorrhage, tumor, trauma, inflammation, demyelination, degeneration, and radiation damage. All of the above factors can result in delayed hypertrophic olivary degeneration. Articles related to this disease cover etiology, clinical presentation, pathology changes, etc. However, to our knowledge, there has been no literature reporting the use of diffusion tensor imaging and diffusion tensor tractography to improve the diagnosis of hypertrophic olivary degeneration following resection of cavernomas in the brain stem. Herein, we report a case who was diagnosed with hypertrophic olivary degeneration following resection of cavernomas of the brain stem, verify the significance of diffusion tensor imaging and diffusion tensor tractography, and review previous literature. The development of imageology promotes and improves hypertrophic olivary degeneration diagnosis and differential diagnosis.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Doctoral Student 2 15%
Other 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Other 0 0%
Unknown 5 38%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Neuroscience 2 15%
Agricultural and Biological Sciences 1 8%
Psychology 1 8%
Unknown 6 46%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2015.
All research outputs
#13,448,755
of 22,829,683 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,311
of 2,986 outputs
Outputs of similar age
#129,866
of 274,923 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#45
of 77 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,986 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 53% 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 274,923 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 51% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.