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X Demographics
Mendeley readers
Attention Score in Context
Title |
Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning
|
---|---|
Published in |
arXiv, January 2022
|
DOI | 10.3389/frai.2021.783778 |
Pubmed ID | |
Authors |
Thayer Alshaabi, Colin M. Van Oort, Mikaela Irene Fudolig, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds |
X Demographics
The data shown below were collected from the profiles of 28 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 | 10 | 36% |
Switzerland | 1 | 4% |
Kenya | 1 | 4% |
Netherlands | 1 | 4% |
Japan | 1 | 4% |
Spain | 1 | 4% |
Thailand | 1 | 4% |
United Kingdom | 1 | 4% |
Unknown | 11 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 71% |
Scientists | 8 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Other | 3 | 19% |
Lecturer | 2 | 13% |
Student > Bachelor | 1 | 6% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 25% |
Social Sciences | 2 | 13% |
Linguistics | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Decision Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 03 February 2022.
All research outputs
#2,611,483
of 25,802,847 outputs
Outputs from arXiv
#41,770
of 945,955 outputs
Outputs of similar age
#63,213
of 522,363 outputs
Outputs of similar age from arXiv
#1,026
of 25,833 outputs
Altmetric has tracked 25,802,847 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 945,955 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 522,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 25,833 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 96% of its contemporaries.