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Cross-domain similarity assessment for workflow improvement to handle Big Data challenge in workflow management

Overview of attention for article published in Journal of Big Data, July 2018
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Mentioned by

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1 X user

Readers on

mendeley
32 Mendeley
Title
Cross-domain similarity assessment for workflow improvement to handle Big Data challenge in workflow management
Published in
Journal of Big Data, July 2018
DOI 10.1186/s40537-018-0135-6
Authors

Tahereh Koohi-Var, Morteza Zahedi

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 22%
Lecturer 4 13%
Researcher 3 9%
Professor 3 9%
Student > Bachelor 2 6%
Other 6 19%
Unknown 7 22%
Readers by discipline Count As %
Computer Science 13 41%
Business, Management and Accounting 3 9%
Engineering 3 9%
Agricultural and Biological Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 10 31%
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 23 July 2018.
All research outputs
#15,540,879
of 23,096,849 outputs
Outputs from Journal of Big Data
#206
of 344 outputs
Outputs of similar age
#209,544
of 329,731 outputs
Outputs of similar age from Journal of Big Data
#5
of 7 outputs
Altmetric has tracked 23,096,849 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 344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 329,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.