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X Demographics
Mendeley readers
Attention Score in Context
Title |
Aberrant White Matter Microstructure as a Potential Diagnostic Marker in Alzheimer's Disease by Automated Fiber Quantification
|
---|---|
Published in |
Frontiers in Neuroscience, September 2020
|
DOI | 10.3389/fnins.2020.570123 |
Pubmed ID | |
Authors |
Haifeng Chen, Xiaoning Sheng, Ruomeng Qin, Caimei Luo, Mengchun Li, Renyuan Liu, Bing Zhang, Yun Xu, Hui Zhao, Feng Bai |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 3 | 9% |
Researcher | 3 | 9% |
Student > Master | 2 | 6% |
Student > Ph. D. Student | 1 | 3% |
Other | 3 | 9% |
Unknown | 17 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 5 | 16% |
Neuroscience | 3 | 9% |
Medicine and Dentistry | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 3 | 9% |
Unknown | 17 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 23 October 2020.
All research outputs
#2,125,720
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,210
of 11,543 outputs
Outputs of similar age
#56,139
of 429,800 outputs
Outputs of similar age from Frontiers in Neuroscience
#80
of 344 outputs
Altmetric has tracked 25,387,668 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 89% 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 429,800 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 344 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.