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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors
|
---|---|
Published in |
IEEE Transactions on Industrial Electronics, August 2017
|
DOI | 10.1109/tie.2017.2716907 |
Authors |
Omar Costilla-Reyes, Patricia Scully, Krikor B. Ozanyan |
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 % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 15% |
Student > Master | 12 | 15% |
Researcher | 11 | 13% |
Unspecified | 5 | 6% |
Student > Bachelor | 4 | 5% |
Other | 15 | 18% |
Unknown | 23 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 29 | 35% |
Computer Science | 15 | 18% |
Unspecified | 5 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 6 | 7% |
Unknown | 25 | 30% |
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 19 February 2018.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from IEEE Transactions on Industrial Electronics
#2,717
of 2,855 outputs
Outputs of similar age
#253,444
of 327,653 outputs
Outputs of similar age from IEEE Transactions on Industrial Electronics
#21
of 23 outputs
Altmetric has tracked 25,382,440 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 2,855 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 2nd percentile – i.e., 2% 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 327,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.