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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Author Name Disambiguation by Using Deep Neural Network
|
---|---|
Chapter number | 13 |
Book title |
Intelligent Information and Database Systems
|
Published in |
arXiv, February 2015
|
DOI | 10.1007/978-3-319-05476-6_13 |
Book ISBNs |
978-3-31-905475-9, 978-3-31-905476-6
|
Authors |
Hung Nghiep Tran, Tin Huynh, Tien Do, Tran, Hung Nghiep, Huynh, Tin, Do, Tien |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 1% |
Netherlands | 1 | 1% |
United States | 1 | 1% |
Unknown | 65 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 16% |
Student > Ph. D. Student | 8 | 12% |
Student > Master | 8 | 12% |
Other | 5 | 7% |
Student > Doctoral Student | 4 | 6% |
Other | 15 | 22% |
Unknown | 17 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 37 | 54% |
Mathematics | 3 | 4% |
Engineering | 3 | 4% |
Social Sciences | 2 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Other | 4 | 6% |
Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 August 2017.
All research outputs
#14,804,483
of 22,793,427 outputs
Outputs from arXiv
#321,670
of 935,912 outputs
Outputs of similar age
#142,877
of 255,577 outputs
Outputs of similar age from arXiv
#2,183
of 10,832 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935,912 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 60% 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 255,577 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,832 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.