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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Foundational Oracle Patterns: Connecting Blockchain to the Off-Chain World
|
|---|---|
| Chapter number | 3 |
| Book title |
Business Process Management: Blockchain and Robotic Process Automation Forum
|
| Published in |
arXiv, September 2020
|
| DOI | 10.1007/978-3-030-58779-6_3 |
| Book ISBNs |
978-3-03-058778-9, 978-3-03-058779-6
|
| Authors |
Roman Mühlberger, Stefan Bachhofner, Eduardo Castelló Ferrer, Claudio Di Ciccio, Ingo Weber, Maximilian Wöhrer, Uwe Zdun, Mühlberger, Roman, Bachhofner, Stefan, Castelló Ferrer, Eduardo, Di Ciccio, Claudio, Weber, Ingo, Wöhrer, Maximilian, Zdun, Uwe |
X Demographics
The data shown below were collected from the profiles of 10 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 | 20% |
| Spain | 1 | 10% |
| Switzerland | 1 | 10% |
| United States | 1 | 10% |
| Japan | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 9 | 11% |
| Researcher | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 37 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 25% |
| Engineering | 7 | 9% |
| Unspecified | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 41 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 04 July 2023.
All research outputs
#2,050,890
of 25,806,080 outputs
Outputs from arXiv
#31,961
of 945,965 outputs
Outputs of similar age
#53,918
of 429,102 outputs
Outputs of similar age from arXiv
#873
of 24,928 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 945,965 research outputs from this source. They receive a mean Attention Score of 4.3. 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 429,102 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 87% of its contemporaries.
We're also able to compare this research output to 24,928 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 96% of its contemporaries.