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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles
|
---|---|
Chapter number | 11 |
Book title |
Social Informatics
|
Published in |
arXiv, September 2017
|
DOI | 10.1007/978-3-319-67256-4_11 |
Book ISBNs |
978-3-31-967255-7, 978-3-31-967256-4
|
Authors |
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer |
X Demographics
The data shown below were collected from the profiles of 47 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 9% |
United Kingdom | 4 | 9% |
Switzerland | 3 | 6% |
Australia | 3 | 6% |
United States | 3 | 6% |
Austria | 2 | 4% |
Spain | 2 | 4% |
Ecuador | 2 | 4% |
Italy | 2 | 4% |
Other | 8 | 17% |
Unknown | 14 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 25 | 53% |
Scientists | 21 | 45% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 30% |
Student > Master | 8 | 18% |
Researcher | 7 | 16% |
Student > Doctoral Student | 3 | 7% |
Professor | 2 | 5% |
Other | 4 | 9% |
Unknown | 7 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 27% |
Physics and Astronomy | 9 | 20% |
Neuroscience | 3 | 7% |
Agricultural and Biological Sciences | 3 | 7% |
Social Sciences | 2 | 5% |
Other | 7 | 16% |
Unknown | 8 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 13 September 2017.
All research outputs
#1,430,388
of 25,724,500 outputs
Outputs from arXiv
#20,930
of 939,513 outputs
Outputs of similar age
#27,753
of 324,501 outputs
Outputs of similar age from arXiv
#345
of 16,494 outputs
Altmetric has tracked 25,724,500 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 939,513 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 324,501 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 16,494 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.