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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An in vivo MRI Template Set for Morphometry, Tissue Segmentation, and fMRI Localization in Rats
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2011
|
| DOI | 10.3389/fninf.2011.00026 |
| Pubmed ID | |
| Authors |
Pedro Antonio Valdés-Hernández, Akira Sumiyoshi, Hiroi Nonaka, Risa Haga, Eduardo Aubert-Vásquez, Takeshi Ogawa, Yasser Iturria-Medina, Jorge J. Riera, Ryuta Kawashima |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Spain | 4 | 2% |
| Japan | 2 | 1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Netherlands | 1 | <1% |
| Cuba | 1 | <1% |
| Singapore | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 180 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 23% |
| Student > Ph. D. Student | 41 | 21% |
| Student > Master | 16 | 8% |
| Professor > Associate Professor | 13 | 7% |
| Student > Doctoral Student | 12 | 6% |
| Other | 46 | 23% |
| Unknown | 22 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 47 | 24% |
| Agricultural and Biological Sciences | 35 | 18% |
| Engineering | 23 | 12% |
| Medicine and Dentistry | 19 | 10% |
| Physics and Astronomy | 8 | 4% |
| Other | 26 | 13% |
| Unknown | 38 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 May 2023.
All research outputs
#15,996,163
of 23,743,910 outputs
Outputs from Frontiers in Neuroinformatics
#567
of 776 outputs
Outputs of similar age
#144,750
of 184,979 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#16
of 24 outputs
Altmetric has tracked 23,743,910 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 776 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 21st percentile – i.e., 21% 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 184,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.