The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction in Autism by Deep Learning Short-Time Spontaneous Hemodynamic Fluctuations
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2019
|
| DOI | 10.3389/fnins.2019.01120 |
| Pubmed ID | |
| Authors |
Lingyu Xu, Xiulin Geng, Xiaoyu He, Jun Li, Jie Yu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 6 | 10% |
| Researcher | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Lecturer | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 29 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 15% |
| Engineering | 6 | 10% |
| Neuroscience | 4 | 7% |
| Psychology | 3 | 5% |
| Physics and Astronomy | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 31 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 November 2019.
All research outputs
#7,781,441
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#4,963
of 11,938 outputs
Outputs of similar age
#134,033
of 386,762 outputs
Outputs of similar age from Frontiers in Neuroscience
#134
of 353 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 57% 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 386,762 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 353 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 61% of its contemporaries.