| Title |
The role of artificial intelligence and machine learning in harmonization of high-resolution post-mortem MRI (virtopsy) with respect to brain microstructure
|
|---|---|
| Published in |
Brain Informatics, March 2019
|
| DOI | 10.1186/s40708-019-0096-3 |
| Pubmed ID | |
| Authors |
Shane O’Sullivan, Helmut Heinsen, Lea Tenenholz Grinberg, Leila Chimelli, Edson Amaro, Paulo Hilário do Nascimento Saldiva, Fleur Jeanquartier, Claire Jean-Quartier, Maria da Graça Morais Martin, Mohammed Imran Sajid, Andreas Holzinger |
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 % |
|---|---|---|
| Spain | 2 | 40% |
| Switzerland | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 12% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 7 | 7% |
| Professor > Associate Professor | 5 | 5% |
| Other | 19 | 20% |
| Unknown | 37 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 10% |
| Medicine and Dentistry | 9 | 9% |
| Engineering | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Social Sciences | 6 | 6% |
| Other | 23 | 24% |
| Unknown | 35 | 36% |
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 08 July 2020.
All research outputs
#13,122,950
of 23,133,982 outputs
Outputs from Brain Informatics
#44
of 105 outputs
Outputs of similar age
#168,238
of 352,354 outputs
Outputs of similar age from Brain Informatics
#1
of 3 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 56% 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 352,354 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 51% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them