The data shown below were collected from the profiles of 6 X users 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 |
Application of Structural and Functional Connectome Mismatch for Classification and Individualized Therapy in Alzheimer Disease
|
---|---|
Published in |
Frontiers in Public Health, November 2020
|
DOI | 10.3389/fpubh.2020.584430 |
Pubmed ID | |
Authors |
Huixia Ren, Jin Zhu, Xiaolin Su, Siyan Chen, Silin Zeng, Xiaoyong Lan, Liang-Yu Zou, Michael E. Sughrue, Yi Guo |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 33% |
Australia | 1 | 17% |
United Kingdom | 1 | 17% |
Tanzania, United Republic of | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 24% |
Unspecified | 5 | 11% |
Student > Bachelor | 4 | 9% |
Student > Postgraduate | 4 | 9% |
Student > Doctoral Student | 2 | 4% |
Other | 1 | 2% |
Unknown | 18 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 8 | 18% |
Unspecified | 5 | 11% |
Computer Science | 3 | 7% |
Engineering | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Other | 4 | 9% |
Unknown | 21 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 April 2022.
All research outputs
#2,795,015
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#1,386
of 14,996 outputs
Outputs of similar age
#73,619
of 534,157 outputs
Outputs of similar age from Frontiers in Public Health
#60
of 356 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,996 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 90% 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 534,157 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 86% of its contemporaries.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.