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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diffusion Tensor Metrics as Biomarkers in Alzheimer's Disease
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049072 |
| Pubmed ID | |
| Authors |
Julio Acosta-Cabronero, Stephanie Alley, Guy B. Williams, George Pengas, Peter J. Nestor |
| Abstract |
Although diffusion tensor imaging has been a major research focus for Alzheimer's disease in recent years, it remains unclear whether it has sufficient stability to have biomarker potential. To date, frequently inconsistent results have been reported, though lack of standardisation in acquisition and analysis make such discrepancies difficult to interpret. There is also, at present, little knowledge of how the biometric properties of diffusion tensor imaging might evolve in the course of Alzheimer's disease. |
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 % |
|---|---|---|
| Peru | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 2% |
| United States | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Russia | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 124 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 27% |
| Researcher | 27 | 20% |
| Student > Master | 15 | 11% |
| Student > Postgraduate | 9 | 7% |
| Student > Bachelor | 9 | 7% |
| Other | 22 | 16% |
| Unknown | 16 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 28 | 21% |
| Psychology | 18 | 13% |
| Medicine and Dentistry | 17 | 13% |
| Agricultural and Biological Sciences | 13 | 10% |
| Computer Science | 9 | 7% |
| Other | 18 | 13% |
| Unknown | 32 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 13 June 2023.
All research outputs
#2,817,048
of 23,915,168 outputs
Outputs from PLOS ONE
#35,370
of 205,310 outputs
Outputs of similar age
#20,112
of 186,393 outputs
Outputs of similar age from PLOS ONE
#669
of 4,907 outputs
Altmetric has tracked 23,915,168 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 205,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 82% 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 186,393 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 89% of its contemporaries.
We're also able to compare this research output to 4,907 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.