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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, October 2018
|
| DOI | 10.3389/fnagi.2018.00317 |
| Pubmed ID | |
| Authors |
Trang T. Le, Rayus T. Kuplicki, Brett A. McKinney, Hung-Wen Yeh, Wesley K. Thompson, Martin P. Paulus, Tulsa 1000 Investigators, Robin L Aupperle, Jerzy Bodurka, Yoon-Hee Cha, Justin S. Feinstein, Sahib S. Khalsa, Jonathan Savitz, W Kyle Simmons, Teresa A Victor |
X Demographics
The data shown below were collected from the profiles of 14 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 States | 7 | 50% |
| Australia | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 24% |
| Student > Ph. D. Student | 19 | 16% |
| Student > Master | 16 | 13% |
| Student > Postgraduate | 5 | 4% |
| Other | 4 | 3% |
| Other | 9 | 8% |
| Unknown | 37 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 18% |
| Medicine and Dentistry | 12 | 10% |
| Psychology | 7 | 6% |
| Computer Science | 6 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 15 | 13% |
| Unknown | 53 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 November 2022.
All research outputs
#4,758,544
of 25,584,565 outputs
Outputs from Frontiers in Aging Neuroscience
#2,358
of 5,537 outputs
Outputs of similar age
#88,253
of 362,457 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#68
of 136 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 57% 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 362,457 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 75% of its contemporaries.
We're also able to compare this research output to 136 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 50% of its contemporaries.