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The diagnostic accuracy of dopamine transporter SPECT imaging to detect nigrostriatal cell loss in patients with Parkinson’s disease or clinically uncertain parkinsonism: a systematic review

Overview of attention for article published in EJNMMI Research, March 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
136 Mendeley
Title
The diagnostic accuracy of dopamine transporter SPECT imaging to detect nigrostriatal cell loss in patients with Parkinson’s disease or clinically uncertain parkinsonism: a systematic review
Published in
EJNMMI Research, March 2015
DOI 10.1186/s13550-015-0087-1
Pubmed ID
Authors

Sven R Suwijn, Caroline JM van Boheemen, Rob J de Haan, Gerrit Tissingh, Jan Booij, Rob MA de Bie

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 135 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 20%
Student > Master 22 16%
Other 10 7%
Researcher 10 7%
Student > Ph. D. Student 10 7%
Other 17 13%
Unknown 40 29%
Readers by discipline Count As %
Medicine and Dentistry 34 25%
Engineering 8 6%
Neuroscience 8 6%
Agricultural and Biological Sciences 7 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 24 18%
Unknown 50 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 March 2023.
All research outputs
#7,061,424
of 23,572,509 outputs
Outputs from EJNMMI Research
#135
of 579 outputs
Outputs of similar age
#87,568
of 287,448 outputs
Outputs of similar age from EJNMMI Research
#4
of 17 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 579 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 76% 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 287,448 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 69% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.