You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A reliability-based approach for influence maximization using the
evidence theory
|
---|---|
Chapter number | 23 |
Book title |
Big Data Analytics and Knowledge Discovery
|
Published in |
arXiv, June 2017
|
DOI | 10.1007/978-3-319-64283-3_23 |
Book ISBNs |
978-3-31-964282-6, 978-3-31-964283-3
|
Authors |
Siwar Jendoubi, Arnaud Martin, Jendoubi, Siwar, Martin, Arnaud |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Scientists | 1 | 14% |
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 % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 21% |
Unspecified | 1 | 7% |
Professor | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 2 | 14% |
Social Sciences | 2 | 14% |
Environmental Science | 1 | 7% |
Arts and Humanities | 1 | 7% |
Computer Science | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 July 2017.
All research outputs
#13,044,767
of 22,985,065 outputs
Outputs from arXiv
#196,476
of 943,182 outputs
Outputs of similar age
#150,064
of 314,551 outputs
Outputs of similar age from arXiv
#4,329
of 18,943 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,182 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% 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 314,551 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 18,943 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.