↓ Skip to main content

Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems

Overview of attention for article published in arXiv, January 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
Published in
arXiv, January 2021
DOI 10.26615/978-954-452-072-4_137
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 6 12%
Student > Ph. D. Student 4 8%
Researcher 3 6%
Lecturer 2 4%
Student > Master 2 4%
Other 5 10%
Unknown 28 56%
Readers by discipline
Readers by discipline Count As %
Computer Science 13 26%
Linguistics 4 8%
Unspecified 1 2%
Agricultural and Biological Sciences 1 2%
Social Sciences 1 2%
Other 2 4%
Unknown 28 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 October 2021.
All research outputs
#17,297,846
of 25,392,582 outputs
Outputs from arXiv
#356,380
of 915,717 outputs
Outputs of similar age
#325,046
of 519,506 outputs
Outputs of similar age from arXiv
#9,914
of 24,644 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,717 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% 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 519,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,644 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.