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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning Techniques for the Segmentation of Tomographic Image Data of Functional Materials
|
---|---|
Published in |
Frontiers in Materials, June 2019
|
DOI | 10.3389/fmats.2019.00145 |
Authors |
Orkun Furat, Mingyan Wang, Matthias Neumann, Lukas Petrich, Matthias Weber, Carl E. Krill, Volker Schmidt |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 22% |
Researcher | 13 | 15% |
Student > Master | 10 | 11% |
Lecturer | 4 | 4% |
Professor | 2 | 2% |
Other | 9 | 10% |
Unknown | 31 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Materials Science | 14 | 16% |
Engineering | 13 | 15% |
Computer Science | 12 | 13% |
Physics and Astronomy | 4 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 8 | 9% |
Unknown | 36 | 40% |
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 08 June 2019.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from Frontiers in Materials
#1,298
of 2,733 outputs
Outputs of similar age
#301,806
of 353,635 outputs
Outputs of similar age from Frontiers in Materials
#58
of 61 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,733 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 1st percentile – i.e., 1% 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 353,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.