The data shown below were collected from the profiles of 2 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 |
Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, February 2020
|
| DOI | 10.3389/fnagi.2020.00028 |
| Pubmed ID | |
| Authors |
Xiaowen Xu, Weikai Li, Jian Mei, Mengling Tao, Xiangbin Wang, Qianhua Zhao, Xiaoniu Liang, Wanqing Wu, Ding Ding, Peijun Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 19 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 13% |
| Neuroscience | 6 | 13% |
| Engineering | 4 | 9% |
| Computer Science | 3 | 6% |
| Psychology | 3 | 6% |
| Other | 4 | 9% |
| Unknown | 21 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 March 2020.
All research outputs
#20,823,888
of 26,456,908 outputs
Outputs from Frontiers in Aging Neuroscience
#4,639
of 5,711 outputs
Outputs of similar age
#280,693
of 387,260 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#98
of 107 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 387,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.