↓ Skip to main content

Functional models and extending strategies for ecological networks

Overview of attention for article published in Applied Network Science, May 2017
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
Title
Functional models and extending strategies for ecological networks
Published in
Applied Network Science, May 2017
DOI 10.1007/s41109-017-0032-5
Authors

Gianni Fenu, Pier Luigi Pau, Danilo Dessì

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Master 2 33%
Student > Postgraduate 1 17%
Professor > Associate Professor 1 17%
Readers by discipline Count As %
Environmental Science 3 50%
Agricultural and Biological Sciences 1 17%
Physics and Astronomy 1 17%
Engineering 1 17%

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 26 May 2017.
All research outputs
#8,739,549
of 10,993,399 outputs
Outputs from Applied Network Science
#45
of 52 outputs
Outputs of similar age
#189,399
of 264,669 outputs
Outputs of similar age from Applied Network Science
#8
of 12 outputs
Altmetric has tracked 10,993,399 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 52 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 264,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.