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X Demographics
Mendeley readers
Attention Score in Context
Title |
Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging
|
---|---|
Published in |
NeuroImage: Clinical, January 2023
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DOI | 10.1016/j.nicl.2023.103320 |
Pubmed ID | |
Authors |
Leonie Lampe, Hans-Jürgen Huppertz, Sarah Anderl-Straub, Franziska Albrecht, Tommaso Ballarini, Sandrine Bisenius, Karsten Mueller, Sebastian Niehaus, Klaus Fassbender, Klaus Fliessbach, Holger Jahn, Johannes Kornhuber, Martin Lauer, Johannes Prudlo, Anja Schneider, Matthis Synofzik, Jan Kassubek, Adrian Danek, Arno Villringer, Janine Diehl-Schmid, Markus Otto, Matthias L. Schroeter, FTLD Consortium Germany |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 18% |
Brazil | 1 | 9% |
India | 1 | 9% |
United States | 1 | 9% |
United Kingdom | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 12% |
Researcher | 2 | 8% |
Unspecified | 1 | 4% |
Professor | 1 | 4% |
Other | 1 | 4% |
Other | 2 | 8% |
Unknown | 15 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 12% |
Engineering | 3 | 12% |
Computer Science | 2 | 8% |
Psychology | 1 | 4% |
Neuroscience | 1 | 4% |
Other | 1 | 4% |
Unknown | 14 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 97. 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 31 January 2023.
All research outputs
#436,152
of 25,392,582 outputs
Outputs from NeuroImage: Clinical
#31
of 2,803 outputs
Outputs of similar age
#10,264
of 474,025 outputs
Outputs of similar age from NeuroImage: Clinical
#2
of 59 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,803 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 98% 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 474,025 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 97% of its contemporaries.
We're also able to compare this research output to 59 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 96% of its contemporaries.