| Title |
NDlib: a python library to model and analyze diffusion processes over complex networks
|
|---|---|
| Published in |
arXiv, December 2017
|
| DOI | 10.1007/s41060-017-0086-6 |
| Authors |
Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 13% |
| United States | 2 | 8% |
| Australia | 2 | 8% |
| United Kingdom | 1 | 4% |
| China | 1 | 4% |
| Canada | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 13 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 54% |
| Scientists | 8 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Student > Master | 12 | 18% |
| Researcher | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 35% |
| Engineering | 6 | 9% |
| Physics and Astronomy | 5 | 8% |
| Environmental Science | 3 | 5% |
| Mathematics | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 May 2020.
All research outputs
#2,938,669
of 25,193,883 outputs
Outputs from arXiv
#49,899
of 1,026,194 outputs
Outputs of similar age
#62,228
of 453,268 outputs
Outputs of similar age from arXiv
#1,116
of 19,220 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,026,194 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 95% 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 453,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 19,220 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.