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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Internet of Hackable Things
|
|---|---|
| Chapter number | 13 |
| Book title |
Proceedings of 5th International Conference in Software Engineering for Defence Applications
|
| Published in |
arXiv, July 2017
|
| DOI | 10.1007/978-3-319-70578-1_13 |
| Book ISBNs |
978-3-31-970577-4, 978-3-31-970578-1
|
| Authors |
Nicola Dragoni, Alberto Giaretta, Manuel Mazzara, Dragoni, Nicola, Giaretta, Alberto, Mazzara, Manuel |
X Demographics
The data shown below were collected from the profiles of 56 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 | 16% |
| United Kingdom | 3 | 5% |
| India | 2 | 4% |
| Australia | 1 | 2% |
| Belgium | 1 | 2% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Singapore | 1 | 2% |
| Other | 9 | 16% |
| Unknown | 27 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 95% |
| Scientists | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Bachelor | 12 | 17% |
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 9% |
| Lecturer | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 39% |
| Engineering | 9 | 13% |
| Business, Management and Accounting | 5 | 7% |
| Arts and Humanities | 2 | 3% |
| Psychology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 10 March 2021.
All research outputs
#647,777
of 25,605,018 outputs
Outputs from arXiv
#8,049
of 931,907 outputs
Outputs of similar age
#13,422
of 327,552 outputs
Outputs of similar age from arXiv
#170
of 15,594 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 931,907 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 327,552 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 95% of its contemporaries.
We're also able to compare this research output to 15,594 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 98% of its contemporaries.