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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale
|
|---|---|
| Published in |
BMC Psychiatry, January 2023
|
| DOI | 10.1186/s12888-022-04509-7 |
| Pubmed ID | |
| Authors |
Cynthia H. Y. Fu, Guray Erus, Yong Fan, Mathilde Antoniades, Danilo Arnone, Stephen R. Arnott, Taolin Chen, Ki Sueng Choi, Cherise Chin Fatt, Benicio N. Frey, Vibe G. Frokjaer, Melanie Ganz, Jose Garcia, Beata R. Godlewska, Stefanie Hassel, Keith Ho, Andrew M. McIntosh, Kun Qin, Susan Rotzinger, Matthew D. Sacchet, Jonathan Savitz, Haochang Shou, Ashish Singh, Aleks Stolicyn, Irina Strigo, Stephen C. Strother, Duygu Tosun, Teresa A. Victor, Dongtao Wei, Toby Wise, Rachel D. Woodham, Roland Zahn, Ian M. Anderson, J. F. William Deakin, Boadie W. Dunlop, Rebecca Elliott, Qiyong Gong, Ian H. Gotlib, Catherine J. Harmer, Sidney H. Kennedy, Gitte M. Knudsen, Helen S. Mayberg, Martin P. Paulus, Jiang Qiu, Madhukar H. Trivedi, Heather C. Whalley, Chao-Gan Yan, Allan H. Young, Christos Davatzikos |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 5 | 71% |
| United States | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Master | 4 | 6% |
| Lecturer | 2 | 3% |
| Student > Postgraduate | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 39 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 8% |
| Computer Science | 4 | 6% |
| Psychology | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 41 | 65% |
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 22 December 2023.
All research outputs
#7,788,243
of 25,145,981 outputs
Outputs from BMC Psychiatry
#2,754
of 5,362 outputs
Outputs of similar age
#142,821
of 467,844 outputs
Outputs of similar age from BMC Psychiatry
#100
of 162 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 467,844 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 69% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.