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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ENIGMA‐DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross‐diagnostic psychiatric research
|
|---|---|
| Published in |
Human Brain Mapping, April 2020
|
| DOI | 10.1002/hbm.24998 |
| Pubmed ID | |
| Authors |
Peter Kochunov, L. Elliot Hong, Emily L. Dennis, Rajendra A. Morey, David F. Tate, Elisabeth A. Wilde, Mark Logue, Sinead Kelly, Gary Donohoe, Pauline Favre, Josselin Houenou, Christopher R. K. Ching, Laurena Holleran, Ole A. Andreassen, Laura S. van Velzen, Lianne Schmaal, Julio E. Villalón‐Reina, Carrie E. Bearden, Fabrizio Piras, Gianfranco Spalletta, Odile A. van den Heuvel, Dick J. Veltman, Dan J. Stein, Meghann C. Ryan, Yunlong Tan, Theo G. M. van Erp, Jessica A. Turner, Liz Haddad, Talia M. Nir, David C. Glahn, Paul M. Thompson, Neda Jahanshad |
X Demographics
The data shown below were collected from the profiles of 20 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 States | 7 | 35% |
| Germany | 2 | 10% |
| Italy | 1 | 5% |
| Ireland | 1 | 5% |
| Norway | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 8 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 16% |
| Student > Doctoral Student | 14 | 11% |
| Researcher | 12 | 10% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 6 | 5% |
| Other | 15 | 12% |
| Unknown | 48 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 16% |
| Neuroscience | 18 | 15% |
| Psychology | 16 | 13% |
| Engineering | 4 | 3% |
| Social Sciences | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 54 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 23 April 2020.
All research outputs
#2,896,434
of 24,449,189 outputs
Outputs from Human Brain Mapping
#783
of 4,303 outputs
Outputs of similar age
#62,267
of 346,494 outputs
Outputs of similar age from Human Brain Mapping
#27
of 74 outputs
Altmetric has tracked 24,449,189 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 81% 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 346,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 74 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 64% of its contemporaries.