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Mendeley readers
Attention Score in Context
| Title |
Neuroimaging in vascular cognitive impairment: a state-of-the-art review
|
|---|---|
| Published in |
BMC Medicine, November 2016
|
| DOI | 10.1186/s12916-016-0725-0 |
| Pubmed ID | |
| Authors |
Wolf-Dieter Heiss, Gary A. Rosenberg, Alexander Thiel, Rok Berlot, Jacques de Reuck |
| Abstract |
Imaging is critical in the diagnosis and treatment of dementia, particularly in vascular cognitive impairment, due to the visualization of ischemic and hemorrhagic injury of gray and white matter. Magnetic resonance imaging (MRI) and positron emission tomography (PET) provide structural and functional information. Clinical MRI is both generally available and versatile - T2-weighted images show infarcts, FLAIR shows white matter changes and lacunar infarcts, and susceptibility-weighted images reveal microbleeds. Diffusion MRI adds another dimension by showing graded damage to white matter, making it more sensitive to white matter injury than FLAIR. Regions of neuroinflammatory disruption of the blood-brain barrier with increased permeability can be quantified and visualized with dynamic contrast-enhanced MRI. PET shows metabolism of glucose and accumulation of amyloid and tau, which is useful in showing abnormal metabolism in Alzheimer's disease. Combining MRI and PET allows identification of patients with mixed dementia, with MRI showing white matter injury and PET demonstrating regional impairment of glucose metabolism and deposition of amyloid. Excellent anatomical detail can be observed with 7.0-Tesla MRI. Imaging is the optimal method to follow the effect of treatments since changes in MRI scans are seen prior to those in cognition. This review describes the role of various imaging modalities in the diagnosis and treatment of vascular cognitive impairment. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Canada | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 178 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 17% |
| Researcher | 23 | 13% |
| Student > Postgraduate | 16 | 9% |
| Student > Doctoral Student | 15 | 8% |
| Student > Master | 15 | 8% |
| Other | 42 | 23% |
| Unknown | 40 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 29% |
| Neuroscience | 27 | 15% |
| Psychology | 14 | 8% |
| Agricultural and Biological Sciences | 10 | 5% |
| Engineering | 10 | 5% |
| Other | 20 | 11% |
| Unknown | 49 | 27% |
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 28 November 2019.
All research outputs
#2,715,599
of 22,899,952 outputs
Outputs from BMC Medicine
#1,661
of 3,443 outputs
Outputs of similar age
#48,332
of 311,567 outputs
Outputs of similar age from BMC Medicine
#39
of 72 outputs
Altmetric has tracked 22,899,952 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 3,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has gotten more attention than average, scoring higher than 51% 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 311,567 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 84% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.