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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting
|
|---|---|
| Published in |
Big Data Analytics, April 2018
|
| DOI | 10.1186/s41044-018-0031-2 |
| Authors |
Kyeong Soo Kim, Sanghyuk Lee, Kaizhu Huang |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| United Kingdom | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 13 | 13% |
| Researcher | 11 | 11% |
| Student > Bachelor | 6 | 6% |
| Lecturer | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 29 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 32% |
| Engineering | 22 | 23% |
| Earth and Planetary Sciences | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 36 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 October 2018.
All research outputs
#8,364,506
of 24,998,746 outputs
Outputs from Big Data Analytics
#11
of 30 outputs
Outputs of similar age
#134,452
of 332,937 outputs
Outputs of similar age from Big Data Analytics
#3
of 4 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 19 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 332,937 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.