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Missing data management and statistical measurement of socio-economic status: application of big data

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

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Readers on

mendeley
18 Mendeley
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Title
Missing data management and statistical measurement of socio-economic status: application of big data
Published in
Journal of Big Data, December 2017
DOI 10.1186/s40537-017-0099-y
Authors

Habtamu Tilaye Wubetie

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Other 2 11%
Student > Doctoral Student 2 11%
Professor 1 6%
Student > Bachelor 1 6%
Other 4 22%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 3 17%
Mathematics 2 11%
Design 2 11%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Other 4 22%
Unknown 5 28%

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 11 July 2019.
All research outputs
#4,014,750
of 14,860,150 outputs
Outputs from Journal of Big Data
#58
of 191 outputs
Outputs of similar age
#124,326
of 401,023 outputs
Outputs of similar age from Journal of Big Data
#5
of 32 outputs
Altmetric has tracked 14,860,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 191 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 68% 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 401,023 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 68% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.