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A genetic-based pairwise trip planner recommender system

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
Title
A genetic-based pairwise trip planner recommender system
Published in
Journal of Big Data, May 2021
DOI 10.1186/s40537-021-00470-6
Pubmed ID
Authors

Nunung Nurul Qomariyah, Dimitar Kazakov

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 > Ph. D. Student 3 17%
Professor > Associate Professor 2 11%
Unspecified 1 6%
Student > Bachelor 1 6%
Lecturer 1 6%
Other 2 11%
Unknown 8 44%
Readers by discipline Count As %
Engineering 3 17%
Medicine and Dentistry 2 11%
Computer Science 2 11%
Unspecified 1 6%
Business, Management and Accounting 1 6%
Other 1 6%
Unknown 8 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 March 2022.
All research outputs
#14,765,281
of 21,963,432 outputs
Outputs from Journal of Big Data
#185
of 322 outputs
Outputs of similar age
#197,508
of 339,001 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 21,963,432 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 339,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
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