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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pathomechanisms of HIV-Associated Cerebral Small Vessel Disease: A Comprehensive Clinical and Neuroimaging Protocol and Analysis Pipeline
|
|---|---|
| Published in |
Frontiers in Neurology, December 2020
|
| DOI | 10.3389/fneur.2020.595463 |
| Pubmed ID | |
| Authors |
Kyle D. Murray, Meera V. Singh, Yuchuan Zhuang, Nasir Uddin, Xing Qiu, Miriam T. Weber, Madalina E. Tivarus, Henry Z. Wang, Bogachan Sahin, Jianhui Zhong, Sanjay B. Maggirwar, Giovanni Schifitto |
| Abstract |
Rationale: We provide an in-depth description of a comprehensive clinical, immunological, and neuroimaging study that includes a full image processing pipeline. This approach, although implemented in HIV infected individuals, can be used in the general population to assess cerebrovascular health. Aims: In this longitudinal study, we seek to determine the effects of neuroinflammation due to HIV-1 infection on the pathomechanisms of cerebral small vessel disease (CSVD). The study focuses on the interaction of activated platelets, pro-inflammatory monocytes and endothelial cells and their impact on the neurovascular unit. The effects on the neurovascular unit are evaluated by a novel combination of imaging biomarkers. Sample Size: We will enroll 110 HIV-infected individuals on stable combination anti-retroviral therapy for at least three months and an equal number of age-matched controls. We anticipate a drop-out rate of 20%. Methods and Design: Subjects are followed for three years and evaluated by flow cytometric analysis of whole blood (to measure platelet activation, platelet monocyte complexes, and markers of monocyte activation), neuropsychological testing, and brain MRI at the baseline, 18- and 36-month time points. MRI imaging follows the recommended clinical small vessel imaging standards and adds several advanced sequences to obtain quantitative assessments of brain tissues including white matter microstructure, tissue susceptibility, and blood perfusion. Discussion: The study provides further understanding of the underlying mechanisms of CSVD in chronic inflammatory disorders such as HIV infection. The longitudinal study design and comprehensive approach allows the investigation of quantitative changes in imaging metrics and their impact on cognitive performance. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Colombia | 1 | 20% |
| Switzerland | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 20% |
| Agricultural and Biological Sciences | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Sports and Recreations | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
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 21 January 2021.
All research outputs
#2,832,831
of 23,628,742 outputs
Outputs from Frontiers in Neurology
#1,690
of 12,581 outputs
Outputs of similar age
#78,006
of 508,051 outputs
Outputs of similar age from Frontiers in Neurology
#163
of 589 outputs
Altmetric has tracked 23,628,742 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 12,581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. 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 508,051 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 589 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 71% of its contemporaries.