The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey
|
|---|---|
| Published in |
Frontiers in Robotics and AI, January 2020
|
| DOI | 10.3389/frobt.2019.00153 |
| Pubmed ID | |
| Authors |
Lorenzo Ferrone, Fabio Massimo Zanzotto |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 17% |
| Italy | 2 | 6% |
| France | 2 | 6% |
| United Kingdom | 2 | 6% |
| Brazil | 2 | 6% |
| Switzerland | 1 | 3% |
| Pakistan | 1 | 3% |
| Chile | 1 | 3% |
| Unknown | 18 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 66% |
| Scientists | 12 | 34% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | <1% |
| Ireland | 1 | <1% |
| Unknown | 197 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 27% |
| Student > Master | 30 | 15% |
| Student > Bachelor | 23 | 12% |
| Researcher | 17 | 9% |
| Other | 11 | 6% |
| Other | 31 | 16% |
| Unknown | 33 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 126 | 63% |
| Engineering | 10 | 5% |
| Social Sciences | 6 | 3% |
| Linguistics | 5 | 3% |
| Neuroscience | 4 | 2% |
| Other | 11 | 6% |
| Unknown | 37 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 18 May 2023.
All research outputs
#1,830,714
of 26,567,854 outputs
Outputs from Frontiers in Robotics and AI
#110
of 1,841 outputs
Outputs of similar age
#43,665
of 486,015 outputs
Outputs of similar age from Frontiers in Robotics and AI
#6
of 50 outputs
Altmetric has tracked 26,567,854 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 1,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 94% 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 486,015 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 91% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.