| Title |
Building accountability into the Internet of Things: the IoT Databox model
|
|---|---|
| Published in |
Journal of Reliable Intelligent Environments, January 2018
|
| DOI | 10.1007/s40860-018-0054-5 |
| Pubmed ID | |
| Authors |
Andy Crabtree, Tom Lodge, James Colley, Chris Greenhalgh, Kevin Glover, Hamed Haddadi, Yousef Amar, Richard Mortier, Qi Li, John Moore, Liang Wang, Poonam Yadav, Jianxin Zhao, Anthony Brown, Lachlan Urquhart, Derek McAuley |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Indonesia | 1 | 20% |
| Bosnia and Herzegovina | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 30 | 21% |
| Student > Ph. D. Student | 25 | 17% |
| Researcher | 18 | 13% |
| Student > Master | 14 | 10% |
| Lecturer | 8 | 6% |
| Other | 18 | 13% |
| Unknown | 31 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 53 | 37% |
| Social Sciences | 32 | 22% |
| Engineering | 6 | 4% |
| Business, Management and Accounting | 5 | 3% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 36 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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
#5,063,499
of 24,180,797 outputs
Outputs from Journal of Reliable Intelligent Environments
#2
of 20 outputs
Outputs of similar age
#108,026
of 448,416 outputs
Outputs of similar age from Journal of Reliable Intelligent Environments
#1
of 1 outputs
Altmetric has tracked 24,180,797 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 18 of them.
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 448,416 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 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them