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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling the Properties of White Matter Tracts Using Diffusion Tensor Imaging to Characterize Patterns of Injury in Aging and Neurodegenerative Disease
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, April 2022
|
| DOI | 10.3389/fnagi.2022.787516 |
| Pubmed ID | |
| Authors |
Chun Yen Kok, Christine Lock, Ting Yao Ang, Nicole C. Keong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 20% |
| Lecturer | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 20% |
| Nursing and Health Professions | 2 | 20% |
| Chemical Engineering | 1 | 10% |
| Computer Science | 1 | 10% |
| Neuroscience | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 3 | 30% |
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 16 May 2022.
All research outputs
#16,530,130
of 24,319,828 outputs
Outputs from Frontiers in Aging Neuroscience
#3,976
of 5,194 outputs
Outputs of similar age
#256,742
of 432,800 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#229
of 323 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 19th percentile – i.e., 19% 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 432,800 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 323 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.