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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PET/MR Imaging: New Frontier in Alzheimer's Disease and Other Dementias
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, November 2017
|
| DOI | 10.3389/fnmol.2017.00343 |
| Pubmed ID | |
| Authors |
Xin Y. Zhang, Zhen L. Yang, Guang M. Lu, Gui F. Yang, Long J. Zhang |
| Abstract |
Alzheimer's disease (AD) is the most common form of dementia; a progressive neurodegenerative disease that currently lacks an effective treatment option. Early and accurate diagnosis, in addition to quick elimination of differential diagnosis, allows us to provide timely treatments that delay the progression of AD. Imaging plays an important role for the early diagnosis of AD. The newly emerging PET/MR imaging strategies integrate the advantages of PET and MR to diagnose and monitor AD. This review introduces the development of PET/MR imaging systems, technical considerations of PET/MR imaging, special considerations of PET/MR in AD, and the system's potential clinical applications and future perspectives in AD. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 14% |
| Student > Bachelor | 17 | 13% |
| Student > Master | 16 | 12% |
| Researcher | 13 | 10% |
| Student > Postgraduate | 8 | 6% |
| Other | 16 | 12% |
| Unknown | 45 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 12% |
| Medicine and Dentistry | 15 | 11% |
| Neuroscience | 13 | 10% |
| Nursing and Health Professions | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Other | 26 | 19% |
| Unknown | 49 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 November 2017.
All research outputs
#17,919,786
of 23,007,887 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,073
of 2,909 outputs
Outputs of similar age
#235,493
of 329,175 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#72
of 118 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 329,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.