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Anticipating employment location patterns in economic regions: modeling complex dynamics

Overview of attention for article published in Applied Network Science, November 2019
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Mentioned by

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1 X user

Readers on

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4 Mendeley
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Title
Anticipating employment location patterns in economic regions: modeling complex dynamics
Published in
Applied Network Science, November 2019
DOI 10.1007/s41109-019-0208-2
Authors

Sanda Kaufman, Miron Kaufman, Mark Salling

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 50%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Energy 1 25%
Engineering 1 25%
Unknown 2 50%
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 21 January 2020.
All research outputs
#20,599,981
of 23,189,371 outputs
Outputs from Applied Network Science
#497
of 510 outputs
Outputs of similar age
#305,673
of 360,079 outputs
Outputs of similar age from Applied Network Science
#35
of 41 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 1st percentile – i.e., 1% 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 360,079 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.