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Identification of novel cerebrospinal fluid biomarker candidates for dementia with Lewy bodies: a proteomic approach

Overview of attention for article published in Molecular Neurodegeneration, June 2020
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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 (85th percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters

Citations

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1 Dimensions
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Title
Identification of novel cerebrospinal fluid biomarker candidates for dementia with Lewy bodies: a proteomic approach
Published in
Molecular Neurodegeneration, June 2020
DOI 10.1186/s13024-020-00388-2
Pubmed ID
Authors

Inger van Steenoven, Marleen J. A. Koel-Simmelink, Leonie J. M. Vergouw, Betty M. Tijms, Sander R. Piersma, Thang V. Pham, Claire Bridel, Gian-Luca Ferri, Cristina Cocco, Barbara Noli, Paul F. Worley, Mei-Fang Xiao, Desheng Xu, Patrick Oeckl, Markus Otto, Wiesje M. van der Flier, Frank Jan de Jong, Connie R. Jimenez, Afina W. Lemstra, Charlotte E. Teunissen

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 26 June 2020.
All research outputs
#1,417,286
of 15,916,687 outputs
Outputs from Molecular Neurodegeneration
#102
of 645 outputs
Outputs of similar age
#44,068
of 295,084 outputs
Outputs of similar age from Molecular Neurodegeneration
#1
of 1 outputs
Altmetric has tracked 15,916,687 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 645 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 84% 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 295,084 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them