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X Demographics
Mendeley readers
Attention Score in Context
Title |
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks
|
---|---|
Published in |
Frontiers in Neuroinformatics, October 2019
|
DOI | 10.3389/fninf.2019.00067 |
Pubmed ID | |
Authors |
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan M. Nielson, Adam G. Thomas, Peter Bandettini, Francisco Pereira |
X Demographics
The data shown below were collected from the profiles of 57 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 32% |
Canada | 4 | 7% |
Netherlands | 2 | 4% |
United Kingdom | 2 | 4% |
Germany | 2 | 4% |
Switzerland | 2 | 4% |
Hungary | 1 | 2% |
Belgium | 1 | 2% |
Spain | 1 | 2% |
Other | 3 | 5% |
Unknown | 21 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 67% |
Scientists | 18 | 32% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 113 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 23% |
Student > Master | 14 | 12% |
Researcher | 14 | 12% |
Student > Bachelor | 11 | 10% |
Professor | 6 | 5% |
Other | 9 | 8% |
Unknown | 33 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 22% |
Engineering | 18 | 16% |
Neuroscience | 10 | 9% |
Physics and Astronomy | 6 | 5% |
Agricultural and Biological Sciences | 5 | 4% |
Other | 13 | 12% |
Unknown | 36 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 28 December 2021.
All research outputs
#1,270,512
of 25,809,966 outputs
Outputs from Frontiers in Neuroinformatics
#29
of 848 outputs
Outputs of similar age
#27,386
of 371,394 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 12 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 848 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 96% 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 371,394 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.