| Title |
Harnessing the potential of machine learning and artificial intelligence for dementia research
|
|---|---|
| Published in |
Brain Informatics, February 2023
|
| DOI | 10.1186/s40708-022-00183-3 |
| Pubmed ID | |
| Authors |
Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah Marzi, Nathan Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn |
X Demographics
The data shown below were collected from the profiles of 29 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 | 19 | 66% |
| United States | 1 | 3% |
| Luxembourg | 1 | 3% |
| Unknown | 8 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 69% |
| Scientists | 7 | 24% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 6 | 9% |
| Researcher | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Lecturer | 5 | 7% |
| Other | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 39 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 9% |
| Computer Science | 6 | 9% |
| Business, Management and Accounting | 4 | 6% |
| Neuroscience | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 39 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 10 March 2023.
All research outputs
#1,940,801
of 25,460,914 outputs
Outputs from Brain Informatics
#7
of 119 outputs
Outputs of similar age
#39,678
of 424,552 outputs
Outputs of similar age from Brain Informatics
#2
of 5 outputs
Altmetric has tracked 25,460,914 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 119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 424,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.