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Modeling the public attitude towards organic foods: a big data and text mining approach

Overview of attention for article published in Journal of Big Data, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
121 Mendeley
Title
Modeling the public attitude towards organic foods: a big data and text mining approach
Published in
Journal of Big Data, January 2022
DOI 10.1186/s40537-021-00551-6
Pubmed ID
Authors

Anupam Singh, Aldona Glińska-Neweś

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 10%
Student > Ph. D. Student 11 9%
Student > Master 8 7%
Lecturer 4 3%
Student > Doctoral Student 4 3%
Other 16 13%
Unknown 66 55%
Readers by discipline Count As %
Computer Science 12 10%
Business, Management and Accounting 8 7%
Agricultural and Biological Sciences 6 5%
Engineering 5 4%
Social Sciences 5 4%
Other 15 12%
Unknown 70 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2022.
All research outputs
#12,951,096
of 22,858,915 outputs
Outputs from Journal of Big Data
#140
of 334 outputs
Outputs of similar age
#193,546
of 500,953 outputs
Outputs of similar age from Journal of Big Data
#2
of 10 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 334 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 57% 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 500,953 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 60% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.