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Mining urban events from the tweet stream through a probabilistic mixture model

Overview of attention for article published in Data Mining and Knowledge Discovery, August 2017
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Mentioned by

twitter
2 X users

Citations

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6 Dimensions

Readers on

mendeley
22 Mendeley
Title
Mining urban events from the tweet stream through a probabilistic mixture model
Published in
Data Mining and Knowledge Discovery, August 2017
DOI 10.1007/s10618-017-0541-y
Authors

Joan Capdevila, Jesús Cerquides, Jordi Torres

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Ph. D. Student 3 14%
Lecturer 2 9%
Student > Doctoral Student 2 9%
Researcher 2 9%
Other 3 14%
Unknown 5 23%
Readers by discipline Count As %
Computer Science 8 36%
Engineering 6 27%
Social Sciences 1 5%
Nursing and Health Professions 1 5%
Unknown 6 27%
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 01 September 2017.
All research outputs
#16,172,769
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#354
of 546 outputs
Outputs of similar age
#202,161
of 318,314 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#6
of 15 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 22nd percentile – i.e., 22% 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 318,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.