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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
AI-based fog and edge computing: A systematic review, taxonomy and future directions
|
|---|---|
| Published in |
arXiv, April 2023
|
| DOI | 10.1016/j.iot.2022.100674 |
| Authors |
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel N. Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Felix Cuadrado, Blesson Varghese, Omer Rana, Schahram Dustdar, Steve Uhlig |
Twitter Demographics
The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 60% |
| Sweden | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 19 | 21% |
| Student > Ph. D. Student | 16 | 18% |
| Student > Master | 5 | 5% |
| Professor | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 17 | 19% |
| Unknown | 27 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 20 | 22% |
| Computer Science | 19 | 21% |
| Engineering | 10 | 11% |
| Business, Management and Accounting | 5 | 5% |
| Economics, Econometrics and Finance | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 30 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 07 February 2023.
All research outputs
#2,501,126
of 23,306,612 outputs
Outputs from arXiv
#43,954
of 960,720 outputs
Outputs of similar age
#10,050
of 105,140 outputs
Outputs of similar age from arXiv
#275
of 10,519 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 960,720 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 105,140 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 90% of its contemporaries.
We're also able to compare this research output to 10,519 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.