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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
|
|---|---|
| Published in |
Philosophical Transactions of the Royal Society B: Biological Sciences, August 2001
|
| DOI | 10.1098/rstb.2001.0915 |
| Pubmed ID | |
| Authors |
John Mazziotta, Arthur Toga, Alan Evans, Peter Fox, Jack Lancaster, Karl Zilles, Roger Woods, Tomas Paus, Gregory Simpson, Bruce Pike, Colin Holmes, Louis Collins, Paul Thompson, David MacDonald, Marco Iacoboni, Thorsten Schormann, Katrin Amunts, Nicola Palomero-Gallagher, Stefan Geyer, Larry Parsons, Katherine Narr, Noor Kabani, Georges Le Goualher, Dorret Boomsma, Tyrone Cannon, Ryuta Kawashima, Bernard Mazoyer |
| Abstract |
Motivated by the vast amount of information that is rapidly accumulating about the human brain in digital form, we embarked upon a program in 1992 to develop a four-dimensional probabilistic atlas and reference system for the human brain. Through an International Consortium for Brain Mapping (ICBM) a dataset is being collected that includes 7000 subjects between the ages of eighteen and ninety years and including 342 mono- and dizygotic twins. Data on each subject includes detailed demographic, clinical, behavioural and imaging information. DNA has been collected for genotyping from 5800 subjects. A component of the programme uses post-mortem tissue to determine the probabilistic distribution of microscopic cyto- and chemoarchitectural regions in the human brain. This, combined with macroscopic information about structure and function derived from subjects in vivo, provides the first large scale opportunity to gain meaningful insights into the concordance or discordance in micro- and macroscopic structure and function. The philosophy, strategy, algorithm development, data acquisition techniques and validation methods are described in this report along with database structures. Examples of results are described for the normal adult human brain as well as examples in patients with Alzheimer's disease and multiple sclerosis. The ability to quantify the variance of the human brain as a function of age in a large population of subjects for whom data is also available about their genetic composition and behaviour will allow for the first assessment of cerebral genotype-phenotype-behavioural correlations in humans to take place in a population this large. This approach and its application should provide new insights and opportunities for investigators interested in basic neuroscience, clinical diagnostics and the evaluation of neuropsychiatric disorders in patients. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,047 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 1% |
| United Kingdom | 12 | 1% |
| Canada | 7 | <1% |
| Germany | 5 | <1% |
| Netherlands | 5 | <1% |
| Spain | 4 | <1% |
| Italy | 3 | <1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| Other | 12 | 1% |
| Unknown | 980 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 230 | 22% |
| Researcher | 217 | 21% |
| Student > Master | 135 | 13% |
| Professor > Associate Professor | 54 | 5% |
| Student > Doctoral Student | 54 | 5% |
| Other | 189 | 18% |
| Unknown | 168 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 186 | 18% |
| Medicine and Dentistry | 133 | 13% |
| Engineering | 109 | 10% |
| Psychology | 107 | 10% |
| Agricultural and Biological Sciences | 85 | 8% |
| Other | 167 | 16% |
| Unknown | 260 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 14 May 2024.
All research outputs
#2,867,282
of 26,106,397 outputs
Outputs from Philosophical Transactions of the Royal Society B: Biological Sciences
#2,330
of 7,210 outputs
Outputs of similar age
#2,708
of 41,244 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society B: Biological Sciences
#7
of 24 outputs
Altmetric has tracked 26,106,397 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one has gotten more attention than average, scoring higher than 67% 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 41,244 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 93% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.