The data shown below were collected from the profiles of 76 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts
|
---|---|
Published in |
Frontiers in Psychiatry, June 2021
|
DOI | 10.3389/fpsyt.2021.667881 |
Pubmed ID | |
Authors |
Ayumu Yamashita, Yuki Sakai, Takashi Yamada, Noriaki Yahata, Akira Kunimatsu, Naohiro Okada, Takashi Itahashi, Ryuichiro Hashimoto, Hiroto Mizuta, Naho Ichikawa, Masahiro Takamura, Go Okada, Hirotaka Yamagata, Kenichiro Harada, Koji Matsuo, Saori C. Tanaka, Mitsuo Kawato, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Okito Yamashita, Hiroshi Imamizu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 9 | 12% |
United States | 4 | 5% |
Russia | 1 | 1% |
Unknown | 62 | 82% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 71 | 93% |
Scientists | 4 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 15% |
Student > Doctoral Student | 5 | 13% |
Researcher | 4 | 10% |
Student > Bachelor | 3 | 8% |
Other | 3 | 8% |
Other | 4 | 10% |
Unknown | 14 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 7 | 18% |
Psychology | 4 | 10% |
Computer Science | 3 | 8% |
Medicine and Dentistry | 3 | 8% |
Mathematics | 2 | 5% |
Other | 4 | 10% |
Unknown | 16 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 09 March 2022.
All research outputs
#933,102
of 26,488,660 outputs
Outputs from Frontiers in Psychiatry
#564
of 13,208 outputs
Outputs of similar age
#24,094
of 463,786 outputs
Outputs of similar age from Frontiers in Psychiatry
#32
of 672 outputs
Altmetric has tracked 26,488,660 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,208 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 95% 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 463,786 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 94% of its contemporaries.
We're also able to compare this research output to 672 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 95% of its contemporaries.