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A survey of multilingual human-tagged short message datasets for sentiment analysis tasks

Overview of attention for article published in Soft Computing, August 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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16 Dimensions

Readers on

mendeley
65 Mendeley
Title
A survey of multilingual human-tagged short message datasets for sentiment analysis tasks
Published in
Soft Computing, August 2017
DOI 10.1007/s00500-017-2766-5
Authors

F. Steiner-Correa, M. I. Viedma-del-Jesus, A. G. Lopez-Herrera

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 7 11%
Lecturer 7 11%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Other 12 18%
Unknown 16 25%
Readers by discipline Count As %
Computer Science 24 37%
Business, Management and Accounting 10 15%
Engineering 4 6%
Social Sciences 4 6%
Arts and Humanities 1 2%
Other 3 5%
Unknown 19 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 August 2017.
All research outputs
#14,075,458
of 23,839,820 outputs
Outputs from Soft Computing
#209
of 465 outputs
Outputs of similar age
#163,583
of 320,292 outputs
Outputs of similar age from Soft Computing
#5
of 11 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. 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 320,292 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.