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X Demographics
Mendeley readers
Attention Score in Context
Title |
Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases
|
---|---|
Published in |
Frontiers in Neuroscience, August 2020
|
DOI | 10.3389/fnins.2020.00734 |
Pubmed ID | |
Authors |
Hans-Peter Müller, Francesco Roselli, Volker Rasche, Jan Kassubek |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 17% |
Mexico | 1 | 17% |
United States | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 24% |
Student > Master | 6 | 16% |
Student > Doctoral Student | 4 | 11% |
Student > Bachelor | 4 | 11% |
Student > Ph. D. Student | 4 | 11% |
Other | 4 | 11% |
Unknown | 7 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 12 | 32% |
Medicine and Dentistry | 6 | 16% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Agricultural and Biological Sciences | 2 | 5% |
Psychology | 2 | 5% |
Other | 3 | 8% |
Unknown | 10 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 30 September 2020.
All research outputs
#3,004,209
of 26,456,908 outputs
Outputs from Frontiers in Neuroscience
#1,944
of 11,883 outputs
Outputs of similar age
#75,599
of 429,237 outputs
Outputs of similar age from Frontiers in Neuroscience
#160
of 338 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 83% 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 429,237 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 82% of its contemporaries.
We're also able to compare this research output to 338 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.