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Connectivity and complex systems: learning from a multi-disciplinary perspective

Overview of attention for article published in Applied Network Science, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 591)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
twitter
135 X users
facebook
1 Facebook page

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
269 Mendeley
Title
Connectivity and complex systems: learning from a multi-disciplinary perspective
Published in
Applied Network Science, June 2018
DOI 10.1007/s41109-018-0067-2
Pubmed ID
Authors

Laura Turnbull, Marc-Thorsten Hütt, Andreas A. Ioannides, Stuart Kininmonth, Ronald Poeppl, Klement Tockner, Louise J. Bracken, Saskia Keesstra, Lichan Liu, Rens Masselink, Anthony J. Parsons

X Demographics

X Demographics

The data shown below were collected from the profiles of 135 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 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 269 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 17%
Researcher 39 14%
Student > Master 34 13%
Professor 17 6%
Student > Doctoral Student 14 5%
Other 49 18%
Unknown 69 26%
Readers by discipline Count As %
Environmental Science 42 16%
Earth and Planetary Sciences 18 7%
Engineering 18 7%
Agricultural and Biological Sciences 17 6%
Social Sciences 13 5%
Other 75 28%
Unknown 86 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 02 April 2024.
All research outputs
#434,676
of 25,878,862 outputs
Outputs from Applied Network Science
#7
of 591 outputs
Outputs of similar age
#9,295
of 343,300 outputs
Outputs of similar age from Applied Network Science
#1
of 17 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 591 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 98% of its peers.
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 343,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.