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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
|
|---|---|
| Published in |
Human Brain Mapping, November 2019
|
| DOI | 10.1002/hbm.24863 |
| Pubmed ID | |
| Authors |
Du Lei, Walter H. L. Pinaya, Jonathan Young, Therese van Amelsvoort, Machteld Marcelis, Gary Donohoe, David O. Mothersill, Aiden Corvin, Sandra Vieira, Xiaoqi Huang, Su Lui, Cristina Scarpazza, Celso Arango, Ed Bullmore, Qiyong Gong, Philip McGuire, Andrea Mechelli |
X Demographics
The data shown below were collected from the profiles of 31 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 | 7 | 23% |
| Spain | 4 | 13% |
| United States | 2 | 6% |
| Netherlands | 2 | 6% |
| Germany | 1 | 3% |
| Switzerland | 1 | 3% |
| Italy | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 12 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 58% |
| Scientists | 7 | 23% |
| Practitioners (doctors, other healthcare professionals) | 5 | 16% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 17% |
| Researcher | 16 | 12% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 9 | 7% |
| Student > Postgraduate | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 50 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 26 | 20% |
| Psychology | 19 | 15% |
| Engineering | 6 | 5% |
| Medicine and Dentistry | 6 | 5% |
| Computer Science | 6 | 5% |
| Other | 12 | 9% |
| Unknown | 54 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 06 July 2020.
All research outputs
#1,935,723
of 25,260,058 outputs
Outputs from Human Brain Mapping
#457
of 4,378 outputs
Outputs of similar age
#44,926
of 471,411 outputs
Outputs of similar age from Human Brain Mapping
#10
of 92 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 89% 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 471,411 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 90% of its contemporaries.
We're also able to compare this research output to 92 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 90% of its contemporaries.