Title |
Analyzing and inferring human real-life behavior through online social networks with social influence deep learning
|
---|---|
Published in |
Applied Network Science, June 2019
|
DOI | 10.1007/s41109-019-0134-3 |
Authors |
Luca Luceri, Torsten Braun, Silvia Giordano |
X Demographics
The data shown below were collected from the profiles of 38 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 Kingdom | 2 | 5% |
Canada | 2 | 5% |
United States | 2 | 5% |
Spain | 2 | 5% |
Italy | 2 | 5% |
Brazil | 2 | 5% |
Ecuador | 2 | 5% |
Bangladesh | 1 | 3% |
Mexico | 1 | 3% |
Other | 2 | 5% |
Unknown | 20 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 25 | 66% |
Scientists | 12 | 32% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 19% |
Student > Master | 9 | 14% |
Researcher | 7 | 11% |
Student > Doctoral Student | 6 | 9% |
Student > Postgraduate | 5 | 8% |
Other | 10 | 16% |
Unknown | 15 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 28% |
Engineering | 9 | 14% |
Social Sciences | 4 | 6% |
Agricultural and Biological Sciences | 2 | 3% |
Mathematics | 2 | 3% |
Other | 13 | 20% |
Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 07 November 2022.
All research outputs
#1,194,941
of 24,770,025 outputs
Outputs from Applied Network Science
#21
of 567 outputs
Outputs of similar age
#26,585
of 359,295 outputs
Outputs of similar age from Applied Network Science
#4
of 30 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 96% 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 359,295 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 92% of its contemporaries.
We're also able to compare this research output to 30 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 90% of its contemporaries.