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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Machine Translation from Natural Language to Code Using Long-Short Term Memory
|
---|---|
Chapter number | 6 |
Book title |
Proceedings of the Future Technologies Conference (FTC) 2019
|
Published in |
arXiv, October 2019
|
DOI | 10.1007/978-3-030-32520-6_6 |
Book ISBNs |
978-3-03-032519-0, 978-3-03-032520-6
|
Authors |
K. M. Tahsin Hassan Rahit, Rashidul Hasan Nabil, Md Hasibul Huq |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
Germany | 1 | 9% |
Colombia | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 17% |
Student > Ph. D. Student | 5 | 17% |
Other | 2 | 7% |
Lecturer | 1 | 3% |
Unspecified | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 31% |
Business, Management and Accounting | 2 | 7% |
Philosophy | 1 | 3% |
Unspecified | 1 | 3% |
Linguistics | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 October 2019.
All research outputs
#7,738,562
of 24,998,746 outputs
Outputs from arXiv
#156,791
of 1,020,408 outputs
Outputs of similar age
#131,445
of 361,122 outputs
Outputs of similar age from arXiv
#5,637
of 28,416 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,020,408 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 84% 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 361,122 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 63% of its contemporaries.
We're also able to compare this research output to 28,416 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.