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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EEG Microstates Temporal Dynamics Differentiate Individuals with Mood and Anxiety Disorders From Healthy Subjects
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, February 2019
|
| DOI | 10.3389/fnhum.2019.00056 |
| Pubmed ID | |
| Authors |
Obada Al Zoubi, Ahmad Mayeli, Aki Tsuchiyagaito, Masaya Misaki, Vadim Zotev, Hazem Refai, Martin Paulus, Jerzy Bodurka, the Tulsa 1000 Investigators, Robin L. Aupperle, Sahib S. Khalsa, Justin S. Feinstein, Jonathan Savitz, Yoon-Hee Cha, Rayus Kuplicki, Teresa A. Victor |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 16% |
| Researcher | 17 | 16% |
| Student > Master | 16 | 15% |
| Student > Bachelor | 8 | 8% |
| Other | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 34 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 27 | 26% |
| Psychology | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Engineering | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 40 | 38% |
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 07 October 2019.
All research outputs
#8,817,335
of 26,215,093 outputs
Outputs from Frontiers in Human Neuroscience
#3,457
of 7,808 outputs
Outputs of similar age
#152,682
of 369,821 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#51
of 125 outputs
Altmetric has tracked 26,215,093 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 54% 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 369,821 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 58% of its contemporaries.
We're also able to compare this research output to 125 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 58% of its contemporaries.