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 |
Abnormal Dynamic Functional Connectivity Associated With Subcortical Networks in Parkinson’s Disease: A Temporal Variability Perspective
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2019
|
| DOI | 10.3389/fnins.2019.00080 |
| Pubmed ID | |
| Authors |
Hong Zhu, Juan Huang, Lifu Deng, Naying He, Lin Cheng, Pin Shu, Fuhua Yan, Shanbao Tong, Junfeng Sun, Huawei Ling |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Student > Bachelor | 7 | 14% |
| Student > Master | 6 | 12% |
| Researcher | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 15 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 15 | 29% |
| Psychology | 6 | 12% |
| Medicine and Dentistry | 6 | 12% |
| Engineering | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 17 | 33% |
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 30 June 2022.
All research outputs
#2,616,051
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#1,627
of 11,543 outputs
Outputs of similar age
#57,997
of 366,765 outputs
Outputs of similar age from Frontiers in Neuroscience
#59
of 374 outputs
Altmetric has tracked 25,385,509 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 85% 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 366,765 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 84% of its contemporaries.
We're also able to compare this research output to 374 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.