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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 X user

Citations

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2 Dimensions

Readers on

mendeley
37 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

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Lecturer 4 11%
Student > Doctoral Student 2 5%
Unspecified 2 5%
Professor > Associate Professor 2 5%
Other 4 11%
Unknown 19 51%
Readers by discipline Count As %
Computer Science 6 16%
Engineering 3 8%
Unspecified 2 5%
Medicine and Dentistry 2 5%
Social Sciences 2 5%
Other 3 8%
Unknown 19 51%
Attention Score in Context

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
#15,687,628
of 23,312,088 outputs
Outputs from Journal of Big Data
#208
of 351 outputs
Outputs of similar age
#261,520
of 448,637 outputs
Outputs of similar age from Journal of Big Data
#10
of 15 outputs
Altmetric has tracked 23,312,088 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 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 25th percentile – i.e., 25% 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 448,637 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.