1,721,138 research outputs found
Archiving and Sharing Functional MRI data
Full text linkThis document describes the file structure and metadata requirements followed in the collating of Edinburgh Imaging fMRI results and their preparation for online sharing, as at January 2016
Archiving and Sharing Functional MRI data
Full text linkThis document describes the file structure and metadata requirements followed in the collating of Edinburgh Imaging fMRI results and their preparation for online sharing, as at July 2015
Masks2Metrics (M2M) 1.0
No full textMasks2Metrics (M2M) is a Matlab based tool that is used to calculate 3 metrics for a given region-of-interest (ROI) in a 3D image: thickness, volume and surface area. While many software packages that automatically compute such metrics exist, it is also necessary to compare the results from automated software with manually-traced ROIs. The current software takes such manually-traced ROIs and computes the metrics automatically.
We (the authors and contributors) use M2M to compute those metrics on images acquired by a Magnetic Resonance Imaging (MRI) machine. The ROI is defined by pairs of 3-dimensional (3D) binary masks (in NIfTI format) that represent the inner and outer borders of the ROI, and are drawn continuously along one direction (x-, y- or z-axis). For the special case of brain images, if the ROI describes a gyrus, the paired masks would be the corresponding grey matter (GM) and white matter curves (WM). Paired ROI NIfTI (.nii) masks are expected to be of the form subj_roi_hem_gm/wmsegments.nii. An example of a pair corresponding to subject 1 right superior frontal gyrus (SFG) would be 1_sfg_r_gm1.nii and 1_sfg_r_wm1.nii. A special feature of M2M is that multiple segments can be used rather than a single continuous ROI (see Wiki help). The ROI metrics calculated are grey matter thickness (GMth), grey matter volume (GMvol),and white matter surface area (WMsa).
For more information, please refer to our up-to-date Wiki at https://github.com/Edinburgh-Imaging/Masks2Metrics.For more information, please refer to our up-to-date Wiki at: https://github.com/Edinburgh-Imaging/Masks2Metrics. Briefly, this folder includes:
- a range of Matlab .m files that make up the toolbox;
- license.txt: GNU General Public License file;
- contributor covenant code of conduct.txt: code of conduct for end for any users interested in contributing;
- ModHausdorffDist.m and license.txt, from www.bsasikanth.com: code for measuring the modified Hausdorff distance;
- frechet folder (frechet.m and license.txt) from https://uk.mathworks.com/matlabcentral/fileexchange/41956-frechet-distance-calculator?focused=3785937&tab=function: code for measuring the Frechet distance;
- example.zip: sample data consisting of 3 paired NifTi masks for testing the code: 1_sfg_l_gm1-3.nii, 1_sfg_l_wm_1-3.nii
Fiona C Denison studies
No full text## Access ## This dataset will be deleted from the Edinburgh DataVault on 2026-04-10. This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh staff. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: https://www.ed.ac.uk/is/research-support/datavault .Multiple studies for which Prof. Fiona C Denison was the PI, now under the stewardship of Edinburgh Imaging. The vault contains personal and sensitive data. As agreed with the owner, it is not suitable for sharing under any circumstance
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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