| Title |
A Survey of the Sources of Noise in fMRI
|
|---|---|
| Published in |
Psychometrika, November 2012
|
| DOI | 10.1007/s11336-012-9294-0 |
| Pubmed ID | |
| Authors |
Douglas N. Greve, Gregory G. Brown, Bryon A. Mueller, Gary Glover, Thomas T. Liu, Function Biomedical Research Network |
| Abstract |
Functional magnetic resonance imaging (fMRI) is a noninvasive method for measuring brain function by correlating temporal changes in local cerebral blood oxygenation with behavioral measures. fMRI is used to study individuals at single time points, across multiple time points (with or without intervention), as well as to examine the variation of brain function across normal and ill populations. fMRI may be collected at multiple sites and then pooled into a single analysis. This paper describes how fMRI data is analyzed at each of these levels and describes the noise sources introduced at each level. |
X Demographics
The data shown below were collected from the profiles of 52 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 States | 10 | 19% |
| United Kingdom | 5 | 10% |
| Belgium | 3 | 6% |
| Italy | 2 | 4% |
| Australia | 2 | 4% |
| Norway | 2 | 4% |
| Canada | 2 | 4% |
| Netherlands | 2 | 4% |
| Denmark | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 15 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 48% |
| Scientists | 23 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Belgium | 2 | 2% |
| Spain | 2 | 2% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 88 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 22% |
| Student > Ph. D. Student | 21 | 21% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Professor | 6 | 6% |
| Other | 17 | 17% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 17% |
| Engineering | 16 | 16% |
| Psychology | 11 | 11% |
| Agricultural and Biological Sciences | 7 | 7% |
| Computer Science | 7 | 7% |
| Other | 23 | 23% |
| Unknown | 20 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 30 May 2018.
All research outputs
#1,317,761
of 25,026,088 outputs
Outputs from Psychometrika
#12
of 532 outputs
Outputs of similar age
#7,635
of 184,187 outputs
Outputs of similar age from Psychometrika
#1
of 9 outputs
Altmetric has tracked 25,026,088 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 532 research outputs from this source. They receive a mean Attention Score of 4.9. 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 9 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