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Comparing metabolomic and pathologic biomarkers alone and in combination for discriminating Alzheimer’s disease from normal cognitive aging

Overview of attention for article published in Acta Neuropathologica Communications, June 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
100 Mendeley
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Title
Comparing metabolomic and pathologic biomarkers alone and in combination for discriminating Alzheimer’s disease from normal cognitive aging
Published in
Acta Neuropathologica Communications, June 2013
DOI 10.1186/2051-5960-1-28
Pubmed ID
Authors

Alison A Motsinger-Reif, Hongjie Zhu, Mitchel A Kling, Wayne Matson, Swati Sharma, Oliver Fiehn, David M Reif, Dina H Appleby, P Murali Doraiswamy, John Q Trojanowski, Rima Kaddurah-Daouk, Steven E Arnold

Abstract

A critical and as-yet unmet need in Alzheimer disease (AD) research is the development of novel markers that can identify individuals at risk for cognitive decline due to AD. This would aid intervention trials designed to slow the progression of AD by increasing diagnostic certainty, and provide new pathophysiologic clues and potential drug targets.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
United States 1 1%
Germany 1 1%
South Africa 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Master 17 17%
Student > Ph. D. Student 12 12%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 26 26%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 20%
Neuroscience 14 14%
Medicine and Dentistry 12 12%
Biochemistry, Genetics and Molecular Biology 9 9%
Psychology 8 8%
Other 23 23%
Unknown 14 14%

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 07 June 2018.
All research outputs
#1,657,050
of 17,355,315 outputs
Outputs from Acta Neuropathologica Communications
#257
of 1,057 outputs
Outputs of similar age
#25,633
of 271,674 outputs
Outputs of similar age from Acta Neuropathologica Communications
#5
of 33 outputs
Altmetric has tracked 17,355,315 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 75% 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 271,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.