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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Modelling GDPR-Compliant Explanations for Trustworthy AI
|
|---|---|
| Chapter number | 16 |
| Book title |
Electronic Government and the Information Systems Perspective
|
| Published in |
arXiv, September 2020
|
| DOI | 10.1007/978-3-030-58957-8_16 |
| Book ISBNs |
978-3-03-058956-1, 978-3-03-058957-8
|
| Authors |
Francesco Sovrano, Fabio Vitali, Monica Palmirani, Sovrano, Francesco, Vitali, Fabio, Palmirani, Monica |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 14% |
| Student > Master | 8 | 9% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 7 | 8% |
| Professor > Associate Professor | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 38 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 14% |
| Business, Management and Accounting | 9 | 10% |
| Social Sciences | 8 | 9% |
| Economics, Econometrics and Finance | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 43 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2021.
All research outputs
#18,083,296
of 23,237,082 outputs
Outputs from arXiv
#448,294
of 957,911 outputs
Outputs of similar age
#286,971
of 402,760 outputs
Outputs of similar age from arXiv
#15,159
of 33,327 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 957,911 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 402,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,327 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.