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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2020
|
| DOI | 10.3389/fnins.2020.00191 |
| Pubmed ID | |
| Authors |
Baoyu Yan, Xiaopan Xu, Mengwan Liu, Kaizhong Zheng, Jian Liu, Jianming Li, Lei Wei, Binjie Zhang, Hongbing Lu, Baojuan Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Student > Master | 9 | 12% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 18 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 16% |
| Psychology | 10 | 13% |
| Neuroscience | 10 | 13% |
| Engineering | 5 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 25 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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
#14,924,082
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#6,108
of 11,543 outputs
Outputs of similar age
#200,200
of 393,790 outputs
Outputs of similar age from Frontiers in Neuroscience
#257
of 340 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
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 is in the 45th percentile – i.e., 45% 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 393,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.