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The midbrain to pons ratio

Overview of attention for article published in Neurology, April 2013
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
14 X users
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
162 Mendeley
citeulike
1 CiteULike
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Title
The midbrain to pons ratio
Published in
Neurology, April 2013
DOI 10.1212/wnl.0b013e318292a2d2
Pubmed ID
Authors

Luke A. Massey, Hans R. Jäger, Dominic C. Paviour, Sean S. O'Sullivan, Helen Ling, David R. Williams, Constantinos Kallis, Janice Holton, Tamas Revesz, David J. Burn, Tarek Yousry, Andrew J. Lees, Nick C. Fox, Caroline Micallef

Abstract

MRI-based measurements used to diagnose progressive supranuclear palsy (PSP) typically lack pathologic verification and are not easy to use routinely. We aimed to develop in histologically proven disease a simple measure of the midbrain and pons on sagittal MRI to identify PSP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
France 1 <1%
Korea, Republic of 1 <1%
South Africa 1 <1%
Italy 1 <1%
Japan 1 <1%
Czechia 1 <1%
Unknown 151 93%

Demographic breakdown

Readers by professional status Count As %
Other 43 27%
Researcher 20 12%
Student > Ph. D. Student 18 11%
Student > Postgraduate 11 7%
Student > Doctoral Student 10 6%
Other 41 25%
Unknown 19 12%
Readers by discipline Count As %
Medicine and Dentistry 78 48%
Neuroscience 22 14%
Biochemistry, Genetics and Molecular Biology 5 3%
Psychology 5 3%
Agricultural and Biological Sciences 4 2%
Other 12 7%
Unknown 36 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 24 August 2020.
All research outputs
#3,409,707
of 25,374,917 outputs
Outputs from Neurology
#6,212
of 21,010 outputs
Outputs of similar age
#27,946
of 205,940 outputs
Outputs of similar age from Neurology
#59
of 235 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has gotten more attention than average, scoring higher than 70% 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 205,940 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 86% of its contemporaries.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.