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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial gradients of healthy aging: a study of myelin-sensitive maps
|
|---|---|
| Published in |
Neurobiology of Aging, March 2019
|
| DOI | 10.1016/j.neurobiolaging.2019.03.002 |
| Pubmed ID | |
| Authors |
Vyacheslav R Karolis, Martina F Callaghan, Chieh-En Jane Tseng, Thomas Hope, Nikolaus Weiskopf, Geraint Rees, Marinella Cappelletti |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| United Kingdom | 2 | 15% |
| Germany | 1 | 8% |
| Chile | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 21% |
| Agricultural and Biological Sciences | 2 | 6% |
| Psychology | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 16 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 17 October 2020.
All research outputs
#1,787,409
of 25,385,509 outputs
Outputs from Neurobiology of Aging
#277
of 4,418 outputs
Outputs of similar age
#40,619
of 364,667 outputs
Outputs of similar age from Neurobiology of Aging
#10
of 65 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 93% 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 364,667 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 88% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.