| Title |
Test–retest reliability of brain morphology estimates
|
|---|---|
| Published in |
Brain Informatics, January 2017
|
| DOI | 10.1007/s40708-016-0060-4 |
| Pubmed ID | |
| Authors |
Christopher R. Madan, Elizabeth A. Kensinger |
| Abstract |
Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datasets to assess the intersession reliability of three cortical measures (thickness, gyrification, and fractal dimensionality) and two subcortical measures (volume and fractal dimensionality). Reliability was generally good, particularly with the gyrification and fractal dimensionality measures. One dataset used a sequence previously optimized for brain morphology analyses and had particularly high reliability. Examining the reliability of morphological measures is critical before the measures can be validly used to investigate inter-individual differences. |
X Demographics
The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 11 | 20% |
| United States | 10 | 19% |
| Canada | 4 | 7% |
| Spain | 4 | 7% |
| Mexico | 2 | 4% |
| Finland | 1 | 2% |
| China | 1 | 2% |
| Germany | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 12 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 57% |
| Scientists | 20 | 37% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 98 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 19% |
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 11 | 11% |
| Student > Doctoral Student | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Other | 14 | 14% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 18 | 18% |
| Neuroscience | 16 | 16% |
| Medicine and Dentistry | 6 | 6% |
| Engineering | 6 | 6% |
| Computer Science | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 35 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 10 November 2021.
All research outputs
#1,322,015
of 25,750,437 outputs
Outputs from Brain Informatics
#3
of 121 outputs
Outputs of similar age
#26,837
of 423,973 outputs
Outputs of similar age from Brain Informatics
#1
of 2 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 121 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% of its peers.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them