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Mendeley readers
Attention Score in Context
| Title |
Measuring Brain Tissue Integrity during 4 Years Using Diffusion Tensor Imaging
|
|---|---|
| Published in |
American Journal of Neuroradiology, September 2016
|
| DOI | 10.3174/ajnr.a4946 |
| Pubmed ID | |
| Authors |
D. Ontaneda, K. Sakaie, J. Lin, X.-F. Wang, M.J. Lowe, M.D. Phillips, R.J. Fox |
| Abstract |
DTI is an MR imaging measure of brain tissue integrity. Little is known regarding the long-term longitudinal evolution of lesional and nonlesional tissue DTI parameters in multiple sclerosis and the present study examines DTI evolution over 4 years. Twenty-one patients with multiple sclerosis were imaged for up to 48 months after starting natalizumab therapy. Gadolinium-enhancing lesions at baseline, chronic T2 lesions, and normal-appearing white matter were followed longitudinally. T2 lesions were subclassified as black holes and non-black holes. Within each ROI, the average values of DTI metrics were derived by using Analysis of Functional Neuro Images software. The longitudinal trend in DTI metrics was estimated by using a mixed-model regression analysis. A significant increase was observed for axial diffusivity (P < .001) in gadolinium-enhancing lesions and chronic T2 lesions during 4 years. No significant change in radial diffusivity either in normal-appearing white matter or lesional tissue was observed. The evolution of axial diffusivity was different in gadolinium-enhancing lesions (P < .001) and chronic T2 lesions (P = .02) compared with normal-appearing white matter. An increase in axial diffusion in both gadolinium-enhancing lesions and T2 lesions may relate to the complex evolution of chronically demyelinated brain tissue. Pathologic changes in normal-appearing white matter are likely more subtle than in lesional tissue and may explain the stability of these measures with DTI. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Postgraduate | 5 | 12% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 35% |
| Neuroscience | 14 | 33% |
| Computer Science | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 09 February 2020.
All research outputs
#2,889,724
of 22,889,074 outputs
Outputs from American Journal of Neuroradiology
#656
of 4,888 outputs
Outputs of similar age
#50,947
of 321,009 outputs
Outputs of similar age from American Journal of Neuroradiology
#10
of 64 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,888 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 86% 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 321,009 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 83% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.