The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction Models for Conversion From Mild Cognitive Impairment to Alzheimer’s Disease: A Systematic Review and Meta-Analysis
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, April 2022
|
| DOI | 10.3389/fnagi.2022.840386 |
| Pubmed ID | |
| Authors |
Yanru Chen, Xiaoling Qian, Yuanyuan Zhang, Wenli Su, Yanan Huang, Xinyu Wang, Xiaoli Chen, Enhan Zhao, Lin Han, Yuxia Ma |
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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Other | 5 | 7% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Unspecified | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 34 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 12% |
| Nursing and Health Professions | 5 | 7% |
| Medicine and Dentistry | 4 | 6% |
| Psychology | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 13 | 19% |
| Unknown | 32 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 May 2022.
All research outputs
#3,287,199
of 23,312,088 outputs
Outputs from Frontiers in Aging Neuroscience
#1,772
of 4,938 outputs
Outputs of similar age
#75,184
of 443,092 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#98
of 329 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 60% 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 443,092 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 82% of its contemporaries.
We're also able to compare this research output to 329 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 65% of its contemporaries.