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Sensor data quality: a systematic review

Overview of attention for article published in Journal of Big Data, February 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
348 Mendeley
Title
Sensor data quality: a systematic review
Published in
Journal of Big Data, February 2020
DOI 10.1186/s40537-020-0285-1
Authors

Hui Yie Teh, Andreas W. Kempa-Liehr, Kevin I-Kai Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 348 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 10%
Researcher 30 9%
Student > Master 27 8%
Student > Bachelor 21 6%
Student > Doctoral Student 15 4%
Other 51 15%
Unknown 168 48%
Readers by discipline Count As %
Computer Science 63 18%
Engineering 55 16%
Agricultural and Biological Sciences 8 2%
Business, Management and Accounting 6 2%
Social Sciences 6 2%
Other 30 9%
Unknown 180 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 September 2022.
All research outputs
#3,017,932
of 23,275,636 outputs
Outputs from Journal of Big Data
#59
of 351 outputs
Outputs of similar age
#75,532
of 456,754 outputs
Outputs of similar age from Journal of Big Data
#5
of 12 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 82% 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 456,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
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 has gotten more attention than average, scoring higher than 58% of its contemporaries.