The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri)
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, June 2019
|
| DOI | 10.3389/fninf.2019.00042 |
| Pubmed ID | |
| Authors |
Niklas Pallast, Michael Diedenhofen, Stefan Blaschke, Frederique Wieters, Dirk Wiedermann, Mathias Hoehn, Gereon R. Fink, Markus Aswendt |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 19% |
| Researcher | 12 | 17% |
| Student > Master | 7 | 10% |
| Professor > Associate Professor | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 13 | 18% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 27 | 38% |
| Agricultural and Biological Sciences | 7 | 10% |
| Engineering | 6 | 8% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 20 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 April 2021.
All research outputs
#15,046,685
of 23,149,216 outputs
Outputs from Frontiers in Neuroinformatics
#521
of 759 outputs
Outputs of similar age
#205,702
of 352,417 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#12
of 19 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 27th percentile – i.e., 27% 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 352,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.