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Attention Score in Context
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
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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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 17% |
Saint Barthélemy | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 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 | 101 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 19% |
Student > Master | 17 | 16% |
Student > Ph. D. Student | 13 | 12% |
Student > Bachelor | 9 | 9% |
Student > Doctoral Student | 7 | 7% |
Other | 27 | 26% |
Unknown | 12 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 19% |
Neuroscience | 14 | 13% |
Medicine and Dentistry | 12 | 11% |
Chemistry | 8 | 8% |
Biochemistry, Genetics and Molecular Biology | 8 | 8% |
Other | 26 | 25% |
Unknown | 17 | 16% |
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
#2,247,332
of 22,731,677 outputs
Outputs from Acta Neuropathologica Communications
#371
of 1,368 outputs
Outputs of similar age
#20,445
of 196,368 outputs
Outputs of similar age from Acta Neuropathologica Communications
#2
of 27 outputs
Altmetric has tracked 22,731,677 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 1,368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 72% 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 196,368 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 89% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.