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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Representation Learning for Natural Language Processing
|
|---|---|
| Published by |
arXiv, October 2020
|
| DOI | 10.1007/978-981-15-5573-2 |
| ISBNs |
978-9-81-155572-5, 978-9-81-155573-2
|
| Authors |
Liu, Zhiyuan, Lin, Yankai, Sun, Maosong, Zhiyuan Liu, Yankai Lin, Maosong Sun |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 10% |
| China | 3 | 10% |
| Ireland | 1 | 3% |
| Brazil | 1 | 3% |
| India | 1 | 3% |
| Indonesia | 1 | 3% |
| Colombia | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 79% |
| Scientists | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 339 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 50 | 15% |
| Student > Ph. D. Student | 42 | 12% |
| Student > Bachelor | 30 | 9% |
| Researcher | 18 | 5% |
| Other | 15 | 4% |
| Other | 49 | 14% |
| Unknown | 135 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 123 | 36% |
| Engineering | 16 | 5% |
| Linguistics | 8 | 2% |
| Business, Management and Accounting | 8 | 2% |
| Arts and Humanities | 6 | 2% |
| Other | 38 | 11% |
| Unknown | 140 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 22 May 2022.
All research outputs
#1,075,933
of 25,171,741 outputs
Outputs from arXiv
#15,498
of 1,028,481 outputs
Outputs of similar age
#29,304
of 419,566 outputs
Outputs of similar age from arXiv
#379
of 32,247 outputs
Altmetric has tracked 25,171,741 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,028,481 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 419,566 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 93% of its contemporaries.
We're also able to compare this research output to 32,247 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.