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SLT-Based ELM for Big Social Data Analysis

Overview of attention for article published in Cognitive Computation, November 2016
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
19 Mendeley
Title
SLT-Based ELM for Big Social Data Analysis
Published in
Cognitive Computation, November 2016
DOI 10.1007/s12559-016-9440-6
Authors

Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Unspecified 3 16%
Other 2 11%
Researcher 2 11%
Student > Bachelor 2 11%
Other 5 26%
Readers by discipline Count As %
Computer Science 8 42%
Unspecified 4 21%
Business, Management and Accounting 2 11%
Environmental Science 1 5%
Economics, Econometrics and Finance 1 5%
Other 3 16%

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 27 November 2016.
All research outputs
#6,618,788
of 8,690,011 outputs
Outputs from Cognitive Computation
#109
of 294 outputs
Outputs of similar age
#205,901
of 298,709 outputs
Outputs of similar age from Cognitive Computation
#3
of 12 outputs
Altmetric has tracked 8,690,011 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 294 research outputs from this source. They receive a mean Attention Score of 1.1. This one is in the 2nd percentile – i.e., 2% 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 298,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.