Title |
Signal-background discrimination with convolutional neural networks in the PandaX-III experiment using MC simulation
|
---|---|
Published in |
Science China Physics, Mechanics & Astronomy, August 2018
|
DOI | 10.1007/s11433-018-9233-5 |
Authors |
Hao Qiao, ChunYu Lu, Xun Chen, Ke Han, XiangDong Ji, SiGuang Wang |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Student > Bachelor | 4 | 24% |
Researcher | 3 | 18% |
Student > Doctoral Student | 2 | 12% |
Professor > Associate Professor | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 12 | 71% |
Environmental Science | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 3 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 21 September 2018.
All research outputs
#1,548,055
of 24,217,893 outputs
Outputs from Science China Physics, Mechanics & Astronomy
#57
of 399 outputs
Outputs of similar age
#32,848
of 334,876 outputs
Outputs of similar age from Science China Physics, Mechanics & Astronomy
#2
of 16 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 85% 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 334,876 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 90% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.