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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm
|
|---|---|
| Published in |
Frontiers in Psychiatry, February 2020
|
| DOI | 10.3389/fpsyt.2020.00016 |
| Pubmed ID | |
| Authors |
Jihoon Oh, Baek-Lok Oh, Kyong-Uk Lee, Jeong-Ho Chae, Kyongsik Yun |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| United States | 1 | 20% |
| Pakistan | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 17% |
| Researcher | 20 | 14% |
| Student > Bachelor | 15 | 11% |
| Student > Ph. D. Student | 8 | 6% |
| Student > Doctoral Student | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 56 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 12% |
| Engineering | 15 | 11% |
| Medicine and Dentistry | 12 | 9% |
| Psychology | 12 | 9% |
| Computer Science | 9 | 6% |
| Other | 11 | 8% |
| Unknown | 64 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 February 2021.
All research outputs
#12,953,850
of 23,191,112 outputs
Outputs from Frontiers in Psychiatry
#3,536
of 10,320 outputs
Outputs of similar age
#196,997
of 449,966 outputs
Outputs of similar age from Frontiers in Psychiatry
#129
of 301 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 64% 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 449,966 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 55% of its contemporaries.
We're also able to compare this research output to 301 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 56% of its contemporaries.