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X Demographics
Mendeley readers
Attention Score in Context
| Title |
QuickBundles, a Method for Tractography Simplification
|
|---|---|
| Published in |
Frontiers in Neuroscience, January 2012
|
| DOI | 10.3389/fnins.2012.00175 |
| Pubmed ID | |
| Authors |
Eleftherios Garyfallidis, Matthew Brett, Marta Morgado Correia, Guy B. Williams, Ian Nimmo-Smith |
| Abstract |
Diffusion MR data sets produce large numbers of streamlines which are hard to visualize, interact with, and interpret in a clinically acceptable time scale, despite numerous proposed approaches. As a solution we present a simple, compact, tailor-made clustering algorithm, QuickBundles (QB), that overcomes the complexity of these large data sets and provides informative clusters in seconds. Each QB cluster can be represented by a single centroid streamline; collectively these centroid streamlines can be taken as an effective representation of the tractography. We provide a number of tests to show how the QB reduction has good consistency and robustness. We show how the QB reduction can help in the search for similarities across several subjects. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Japan | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Canada | 3 | 2% |
| France | 2 | 1% |
| Turkey | 1 | <1% |
| Switzerland | 1 | <1% |
| Cuba | 1 | <1% |
| Colombia | 1 | <1% |
| Spain | 1 | <1% |
| Italy | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 163 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 25% |
| Researcher | 33 | 19% |
| Student > Master | 20 | 11% |
| Student > Doctoral Student | 10 | 6% |
| Professor | 9 | 5% |
| Other | 28 | 16% |
| Unknown | 34 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 16% |
| Neuroscience | 28 | 16% |
| Engineering | 21 | 12% |
| Agricultural and Biological Sciences | 12 | 7% |
| Psychology | 11 | 6% |
| Other | 34 | 19% |
| Unknown | 43 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 October 2023.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#2,701
of 11,538 outputs
Outputs of similar age
#25,687
of 250,101 outputs
Outputs of similar age from Frontiers in Neuroscience
#30
of 154 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 75% 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 250,101 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 89% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.