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Semantic analysis on social networks: A survey

Overview of attention for article published in International Journal of Digital & Analog Communication Systems, April 2020
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Semantic analysis on social networks: A survey
Published in
International Journal of Digital & Analog Communication Systems, April 2020
DOI 10.1002/dac.4424
Authors

Sumeyye Bayrakdar, Ibrahim Yucedag, Mehmet Simsek, Ibrahim Alper Dogru

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Doctoral Student 6 13%
Professor 4 9%
Lecturer 3 6%
Student > Ph. D. Student 3 6%
Other 9 19%
Unknown 14 30%
Readers by discipline Count As %
Computer Science 13 28%
Engineering 4 9%
Social Sciences 3 6%
Business, Management and Accounting 3 6%
Linguistics 2 4%
Other 7 15%
Unknown 15 32%

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 21 April 2020.
All research outputs
#13,390,757
of 20,111,379 outputs
Outputs from International Journal of Digital & Analog Communication Systems
#149
of 286 outputs
Outputs of similar age
#181,088
of 291,673 outputs
Outputs of similar age from International Journal of Digital & Analog Communication Systems
#3
of 4 outputs
Altmetric has tracked 20,111,379 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 286 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 291,673 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.