Complex Spreading Phenomena in Social Systems
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Measuring Social Spam and the Effect of Bots on Information Diffusion in Social Media
|
|---|---|
| Chapter number | 13 |
| Book title |
Complex Spreading Phenomena in Social Systems
|
| Published in |
arXiv, June 2018
|
| DOI | 10.1007/978-3-319-77332-2_13 |
| Book ISBNs |
978-3-31-977331-5, 978-3-31-977332-2
|
| Authors |
Emilio Ferrara, Ferrara, Emilio |
X Demographics
The data shown below were collected from the profiles of 41 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 | 9 | 22% |
| United Kingdom | 4 | 10% |
| Spain | 3 | 7% |
| France | 3 | 7% |
| Italy | 2 | 5% |
| Switzerland | 2 | 5% |
| Denmark | 1 | 2% |
| Serbia | 1 | 2% |
| Portugal | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 51% |
| Scientists | 20 | 49% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Student > Master | 14 | 18% |
| Researcher | 7 | 9% |
| Professor | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 21 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 25% |
| Social Sciences | 13 | 17% |
| Business, Management and Accounting | 6 | 8% |
| Engineering | 4 | 5% |
| Arts and Humanities | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 26 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 February 2019.
All research outputs
#1,366,383
of 25,621,213 outputs
Outputs from arXiv
#19,778
of 932,280 outputs
Outputs of similar age
#28,617
of 342,985 outputs
Outputs of similar age from arXiv
#499
of 19,743 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 932,280 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 342,985 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 91% of its contemporaries.
We're also able to compare this research output to 19,743 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 97% of its contemporaries.