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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automatic DTI-based parcellation of the corpus callosum through the watershed transform
|
---|---|
Published in |
Research on Biomedical Engineering, July 2014
|
DOI | 10.1590/rbeb.2014.012 |
Authors |
Leticia Rittner, Pedro Ferro Freitas, Simone Appenzeller, Roberto de Alencar Lotufo |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 18% |
United Kingdom | 1 | 9% |
Unknown | 8 | 73% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 18% |
Researcher | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 2 | 18% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Engineering | 4 | 36% |
Neuroscience | 1 | 9% |
Unknown | 2 | 18% |
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 18 February 2015.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Research on Biomedical Engineering
#57
of 74 outputs
Outputs of similar age
#176,921
of 241,471 outputs
Outputs of similar age from Research on Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 10th percentile – i.e., 10% 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 241,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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