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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability
|
---|---|
Chapter number | 22 |
Book title |
Engineering for Sustainable Future
|
Published in |
arXiv, September 2019
|
DOI | 10.1007/978-3-030-36841-8_22 |
Book ISBNs |
978-3-03-036840-1, 978-3-03-036841-8
|
Authors |
Saeed Nosratabadi, Amir Mosavi, Ramin Keivani, Sina Ardabili, Farshid Aram, Nosratabadi, Saeed, Mosavi, Amir, Keivani, Ramin, Ardabili, Sina, Aram, Farshid |
X Demographics
The data shown below were collected from the profiles of 25 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 | 3 | 12% |
United Kingdom | 3 | 12% |
India | 2 | 8% |
Germany | 2 | 8% |
Switzerland | 1 | 4% |
Canada | 1 | 4% |
Puerto Rico | 1 | 4% |
United Arab Emirates | 1 | 4% |
France | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 84% |
Scientists | 3 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 162 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 24 | 15% |
Student > Ph. D. Student | 21 | 13% |
Researcher | 15 | 9% |
Student > Doctoral Student | 9 | 6% |
Student > Bachelor | 9 | 6% |
Other | 24 | 15% |
Unknown | 60 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 40 | 25% |
Engineering | 19 | 12% |
Business, Management and Accounting | 9 | 6% |
Social Sciences | 8 | 5% |
Environmental Science | 7 | 4% |
Other | 15 | 9% |
Unknown | 64 | 40% |
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 15 March 2021.
All research outputs
#2,707,839
of 25,388,229 outputs
Outputs from arXiv
#46,048
of 1,037,314 outputs
Outputs of similar age
#52,788
of 347,439 outputs
Outputs of similar age from arXiv
#1,239
of 26,355 outputs
Altmetric has tracked 25,388,229 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 1,037,314 research outputs from this source. They receive a mean Attention Score of 4.1. 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 347,439 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 84% of its contemporaries.
We're also able to compare this research output to 26,355 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 95% of its contemporaries.