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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Automated Open-Source Workflow for Standards-Compliant Integration of Small Animal Magnetic Resonance Imaging Data
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2020
|
| DOI | 10.3389/fninf.2020.00005 |
| Pubmed ID | |
| Authors |
Horea-Ioan Ioanas, Markus Marks, Clément M. Garin, Marc Dhenain, Mehmet Fatih Yanik, Markus Rudin |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Romania | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Student > Master | 5 | 21% |
| Professor | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 33% |
| Engineering | 4 | 17% |
| Medicine and Dentistry | 2 | 8% |
| Decision Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
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 23 February 2020.
All research outputs
#13,090,884
of 23,192,960 outputs
Outputs from Frontiers in Neuroinformatics
#399
of 761 outputs
Outputs of similar age
#204,186
of 456,021 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 15 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 761 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 46th percentile – i.e., 46% 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 456,021 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 54% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.