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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
SECaps: A Sequence Enhanced Capsule Model for Charge Prediction
|
---|---|
Chapter number | 19 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
|
Published in |
arXiv, September 2019
|
DOI | 10.1007/978-3-030-30490-4_19 |
Book ISBNs |
978-3-03-030489-8, 978-3-03-030490-4
|
Authors |
Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu, He, Congqing, Peng, Li, Le, Yuquan, He, Jiawei, Zhu, Xiangyu |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 17% |
Germany | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 5 | 24% |
Other | 2 | 10% |
Student > Doctoral Student | 2 | 10% |
Unspecified | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 5 | 24% |
Unknown | 5 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 57% |
Unspecified | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 30 March 2021.
All research outputs
#6,910,757
of 25,006,193 outputs
Outputs from arXiv
#136,657
of 1,020,508 outputs
Outputs of similar age
#114,716
of 348,855 outputs
Outputs of similar age from arXiv
#4,819
of 27,064 outputs
Altmetric has tracked 25,006,193 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,020,508 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% 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 348,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 27,064 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.