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 |
Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity
|
|---|---|
| Published in |
Frontiers in Neural Circuits, March 2021
|
| DOI | 10.3389/fncir.2021.649417 |
| Pubmed ID | |
| Authors |
Mohammad S. E. Sendi, Elaheh Zendehrouh, Charles A. Ellis, Zhijia Liang, Zening Fu, Daniel H. Mathalon, Judith M. Ford, Adrian Preda, Theo G. M. van Erp, Robyn L. Miller, Godfrey D. Pearlson, Jessica A. Turner, Vince D. Calhoun |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Researcher | 4 | 7% |
| Professor | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 21 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 20% |
| Psychology | 5 | 9% |
| Engineering | 4 | 7% |
| Computer Science | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 24 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 September 2021.
All research outputs
#7,214,275
of 26,454,856 outputs
Outputs from Frontiers in Neural Circuits
#376
of 1,324 outputs
Outputs of similar age
#153,182
of 473,560 outputs
Outputs of similar age from Frontiers in Neural Circuits
#11
of 33 outputs
Altmetric has tracked 26,454,856 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,324 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 71% 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 473,560 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 67% of its contemporaries.
We're also able to compare this research output to 33 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 66% of its contemporaries.