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Mendeley readers
Attention Score in Context
| Title |
Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0052531 |
| Pubmed ID | |
| Authors |
Miguel Ángel Muñoz-Ruiz, Päivi Hartikainen, Juha Koikkalainen, Robin Wolz, Valtteri Julkunen, Eini Niskanen, Sanna-Kaisa Herukka, Miia Kivipelto, Ritva Vanninen, Daniel Rueckert, Yawu Liu, Jyrki Lötjönen, Hilkka Soininen |
| Abstract |
MRI is an important clinical tool for diagnosing dementia-like diseases such as Frontemporal Dementia (FTD). However there is a need to develop more accurate and standardized MRI analysis methods. |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Uruguay | 1 | <1% |
| Portugal | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 113 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 21% |
| Researcher | 22 | 18% |
| Student > Master | 18 | 15% |
| Student > Bachelor | 7 | 6% |
| Professor | 6 | 5% |
| Other | 24 | 20% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 28% |
| Psychology | 21 | 18% |
| Neuroscience | 17 | 14% |
| Computer Science | 8 | 7% |
| Engineering | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 25 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 05 June 2014.
All research outputs
#4,165,214
of 22,757,090 outputs
Outputs from PLOS ONE
#59,093
of 194,183 outputs
Outputs of similar age
#44,110
of 280,416 outputs
Outputs of similar age from PLOS ONE
#1,054
of 4,861 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 68% 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 280,416 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 83% of its contemporaries.
We're also able to compare this research output to 4,861 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.