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Big data quality framework: a holistic approach to continuous quality management

Overview of attention for article published in Journal of Big Data, May 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
174 Mendeley
Title
Big data quality framework: a holistic approach to continuous quality management
Published in
Journal of Big Data, May 2021
DOI 10.1186/s40537-021-00468-0
Authors

Ikbal Taleb, Mohamed Adel Serhani, Chafik Bouhaddioui, Rachida Dssouli

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 174 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 13%
Student > Master 14 8%
Researcher 12 7%
Student > Doctoral Student 12 7%
Professor 8 5%
Other 21 12%
Unknown 84 48%
Readers by discipline Count As %
Computer Science 32 18%
Business, Management and Accounting 19 11%
Engineering 10 6%
Social Sciences 7 4%
Nursing and Health Professions 3 2%
Other 15 9%
Unknown 88 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 December 2022.
All research outputs
#6,631,327
of 23,437,201 outputs
Outputs from Journal of Big Data
#112
of 354 outputs
Outputs of similar age
#143,473
of 449,001 outputs
Outputs of similar age from Journal of Big Data
#5
of 15 outputs
Altmetric has tracked 23,437,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 354 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 gotten more attention than average, scoring higher than 66% 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 449,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.