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Disentangling link formation and dissolution in spatial networks: An Application of a Two-Mode STERGM to a Project-Based R

Overview of attention for article published in Networks and Spatial Economics, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 110)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
38 Mendeley
Title
Disentangling link formation and dissolution in spatial networks: An Application of a Two-Mode STERGM to a Project-Based R&D Network in the German Biotechnology Industry
Published in
Networks and Spatial Economics, January 2019
DOI 10.1007/s11067-018-9430-1
Authors

Tom Broekel, Marcel Bednarz

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Professor > Associate Professor 4 11%
Professor 3 8%
Student > Postgraduate 3 8%
Researcher 3 8%
Other 5 13%
Unknown 10 26%
Readers by discipline Count As %
Social Sciences 6 16%
Economics, Econometrics and Finance 6 16%
Engineering 2 5%
Environmental Science 2 5%
Mathematics 1 3%
Other 6 16%
Unknown 15 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2020.
All research outputs
#5,588,398
of 25,837,817 outputs
Outputs from Networks and Spatial Economics
#14
of 110 outputs
Outputs of similar age
#118,111
of 450,106 outputs
Outputs of similar age from Networks and Spatial Economics
#1
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 110 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 87% 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 450,106 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
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 all of them