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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An Online RFID Localization in the Manufacturing Shopfloor
|
|---|---|
| Chapter number | 10 |
| Book title |
Predictive Maintenance in Dynamic Systems
|
| Published in |
arXiv, January 2019
|
| DOI | 10.1007/978-3-030-05645-2_10 |
| Book ISBNs |
978-3-03-005644-5, 978-3-03-005645-2
|
| Authors |
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Huang Sheng |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 21% |
| Student > Doctoral Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 3 | 16% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 37% |
| Computer Science | 4 | 21% |
| Medicine and Dentistry | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Unknown | 6 | 32% |
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 29 May 2019.
All research outputs
#13,844,783
of 23,858,780 outputs
Outputs from arXiv
#220,402
of 993,285 outputs
Outputs of similar age
#215,109
of 442,379 outputs
Outputs of similar age from arXiv
#5,916
of 24,444 outputs
Altmetric has tracked 23,858,780 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 993,285 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 442,379 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 50% of its contemporaries.
We're also able to compare this research output to 24,444 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.