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Conceptualizing Big Social Data

Overview of attention for article published in Journal of Big Data, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 353)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

policy
1 policy source
twitter
42 X users
facebook
1 Facebook page

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
250 Mendeley
Title
Conceptualizing Big Social Data
Published in
Journal of Big Data, January 2017
DOI 10.1186/s40537-017-0063-x
Authors

Ekaterina Olshannikova, Thomas Olsson, Jukka Huhtamäki, Hannu Kärkkäinen

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
India 1 <1%
Denmark 1 <1%
Unknown 246 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 58 23%
Student > Ph. D. Student 45 18%
Student > Bachelor 24 10%
Researcher 18 7%
Student > Doctoral Student 17 7%
Other 40 16%
Unknown 48 19%
Readers by discipline Count As %
Computer Science 75 30%
Social Sciences 38 15%
Business, Management and Accounting 34 14%
Engineering 24 10%
Psychology 5 2%
Other 18 7%
Unknown 56 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 01 January 2018.
All research outputs
#1,054,874
of 23,340,595 outputs
Outputs from Journal of Big Data
#22
of 353 outputs
Outputs of similar age
#24,416
of 420,865 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 93% 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 420,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them