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Mendeley readers
Attention Score in Context
| Title |
123I-FP-CIT SPECT imaging in early diagnosis of dementia in patients with and without a vascular component
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, July 2015
|
| DOI | 10.3389/fnsys.2015.00099 |
| Pubmed ID | |
| Authors |
Marina Garriga, Marta Milà, Manzoor Mir, Raid Al-Baradie, Sonia Huertas, Cesar Castejon, Laura Casas, Dolors Badenes, Nuria Giménez, M. Angels Font, Jose M. Gonzalez, Maria Ysamat, Miguel Aguilar, Mark Slevin, Jerzy Krupinski |
| Abstract |
Alzheimer's disease (AD) and vascular dementia (VaD) are the most common cause of dementia. Cerebral ischemia is a major risk factor for development of dementia. (123)I-FP-CIT SPECT (DaTScan) is a complementary tool in the differential diagnoses of patients with incomplete or uncertain Parkinsonism. Additional application of DaTScan enables the categorization of Parkinsonian disease with dementia (PDD), and its differentiation from pure AD, and may further contribute to change the therapeutic decision. The aim of this study was to analyze the vascular contribution towards dementia and mild cognitive impairment (MCI). We evaluated the utility of DaTScan for the early diagnosis of dementia in patients with and without a clinical vascular component, and the association between neuropsychological function, vascular component and dopaminergic function on DaTScan. One-hundred and five patients with MCI or the initial phases of dementia were studied prospectively. We developed an initial assessment using neurologic examination, blood tests, cognitive function tests, structural neuroimaging and DaTScan. The vascular component was later quantified in two ways: clinically, according to the Framingham Risk Score (FRS) and by structural neuroimaging using Wahlund Scale Total Score (WSTS). Early diagnosis of dementia was associated with an abnormal DaTScan. A significant association was found between a high WSTS and an abnormal DaTScan (p < 0.01). Mixed AD was the group with the highest vascular component, followed by the VaD group, while MCI and pure AD showed similar WSTS. No significant associations were found between neuropsychological impairment and DaTScan independently of associated vascular component. DaTScan seems to be a good tool to discriminate, in a first clinical assessment, patients with MCI from those with established dementia. There was bigger general vascular affectation observable in MRI or CT in patients with abnormal dopaminergic uptake seen on DaTScan. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 9 | 13% |
| Student > Ph. D. Student | 6 | 9% |
| Researcher | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 27 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 24% |
| Neuroscience | 7 | 10% |
| Psychology | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Social Sciences | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 25 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 24 April 2016.
All research outputs
#3,120,686
of 22,813,792 outputs
Outputs from Frontiers in Systems Neuroscience
#308
of 1,342 outputs
Outputs of similar age
#41,692
of 263,449 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#4
of 41 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 76% 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 263,449 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 41 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 90% of its contemporaries.