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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Scaling Properties of Human Brain Functional Networks
|
---|---|
Chapter number | 13 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2016
|
Published in |
Lecture notes in computer science, August 2016
|
DOI | 10.1007/978-3-319-44778-0_13 |
Book ISBNs |
978-3-31-944777-3, 978-3-31-944778-0
|
Authors |
Riccardo Zucca, Xerxes D. Arsiwalla, Hoang Le, Mikail Rubinov, Paul F. M. J. Verschure, Paul Verschure |
Editors |
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 7% |
Taiwan | 1 | 7% |
Unknown | 12 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 21% |
Professor | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Other | 1 | 7% |
Librarian | 1 | 7% |
Other | 3 | 21% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 29% |
Agricultural and Biological Sciences | 2 | 14% |
Psychology | 2 | 14% |
Neuroscience | 2 | 14% |
Social Sciences | 1 | 7% |
Other | 0 | 0% |
Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 February 2017.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#4,670
of 8,143 outputs
Outputs of similar age
#230,759
of 357,256 outputs
Outputs of similar age from Lecture notes in computer science
#245
of 471 outputs
Altmetric has tracked 23,577,654 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 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% 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 357,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 471 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.