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Mendeley readers
Attention Score in Context
Chapter title |
Diffusion Tensor Imaging (DTI)
|
---|---|
Chapter number | 7 |
Book title |
Preclinical MRI
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7531-0_7 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7530-3, 978-1-4939-7531-0
|
Authors |
Silvia Lope-Piedrafita, Lope-Piedrafita, Silvia |
Abstract |
Diffusion Tensor Imaging is an MRI technique that allows in vivo noninvasive measurement of the translational motion of water, providing information about its anisotropy (or lack of it) in different tissues. DTI has been commonly used to quantitatively measure the integrity of tissues which may be compromised by neurological disease, such as white matter tracks of the brain, which normally impart significant anisotropy to water motion in healthy brains. However, this anisotropic effect is diminished when axonal or neuronal damage is present. This chapter describes a standard protocol for DTI data acquisition in preclinical studies. |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Turkey | 1 | <1% |
Switzerland | 1 | <1% |
Belgium | 1 | <1% |
Australia | 1 | <1% |
Unknown | 112 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 16% |
Researcher | 17 | 14% |
Student > Bachelor | 13 | 11% |
Student > Master | 12 | 10% |
Other | 11 | 9% |
Other | 19 | 16% |
Unknown | 27 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 27 | 23% |
Neuroscience | 14 | 12% |
Engineering | 9 | 8% |
Computer Science | 8 | 7% |
Agricultural and Biological Sciences | 7 | 6% |
Other | 19 | 16% |
Unknown | 34 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 22 July 2022.
All research outputs
#1,589,307
of 22,908,162 outputs
Outputs from Methods in molecular biology
#204
of 13,132 outputs
Outputs of similar age
#39,504
of 441,474 outputs
Outputs of similar age from Methods in molecular biology
#9
of 1,497 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 441,474 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 91% of its contemporaries.
We're also able to compare this research output to 1,497 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.