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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct Methylphenidate-Evoked Response Measured Using Functional Near-Infrared Spectroscopy During Go/No-Go Task as a Supporting Differential Diagnostic Tool Between Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Comorbid Children
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, February 2019
|
| DOI | 10.3389/fnhum.2019.00007 |
| Pubmed ID | |
| Authors |
Stephanie Sutoko, Yukifumi Monden, Tatsuya Tokuda, Takahiro Ikeda, Masako Nagashima, Masashi Kiguchi, Atsushi Maki, Takanori Yamagata, Ippeita Dan |
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 % |
|---|---|---|
| Japan | 2 | 33% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 8 | 12% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 17% |
| Neuroscience | 10 | 15% |
| Medicine and Dentistry | 8 | 12% |
| Nursing and Health Professions | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 11 | 17% |
| Unknown | 20 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 16 February 2019.
All research outputs
#1,182,987
of 25,622,179 outputs
Outputs from Frontiers in Human Neuroscience
#533
of 7,738 outputs
Outputs of similar age
#28,454
of 450,734 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#8
of 122 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 93% 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 450,734 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.