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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, September 2021
|
| DOI | 10.1186/s13195-021-00900-w |
| Pubmed ID | |
| Authors |
Sergio Grueso, Raquel Viejo-Sobera |
X Demographics
The data shown below were collected from the profiles of 12 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 | 17% |
| United Kingdom | 2 | 17% |
| Spain | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 223 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 13% |
| Researcher | 23 | 10% |
| Student > Master | 17 | 8% |
| Student > Bachelor | 9 | 4% |
| Student > Postgraduate | 7 | 3% |
| Other | 34 | 15% |
| Unknown | 103 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 11% |
| Neuroscience | 22 | 10% |
| Engineering | 13 | 6% |
| Medicine and Dentistry | 11 | 5% |
| Psychology | 6 | 3% |
| Other | 35 | 16% |
| Unknown | 112 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 05 February 2023.
All research outputs
#1,445,953
of 23,283,373 outputs
Outputs from Alzheimer's Research & Therapy
#213
of 1,264 outputs
Outputs of similar age
#34,769
of 432,828 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#9
of 49 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 83% 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 432,828 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 91% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.