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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A deep learning-based CEP rule extraction framework for IoT data
|
|---|---|
| Published in |
The Journal of Supercomputing, January 2021
|
| DOI | 10.1007/s11227-020-03603-5 |
| Authors |
Mehmet Ulvi Simsek, Feyza Yildirim Okay, Suat Ozdemir |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 26% |
| Engineering | 4 | 13% |
| Unspecified | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 January 2021.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#338
of 543 outputs
Outputs of similar age
#310,953
of 509,443 outputs
Outputs of similar age from The Journal of Supercomputing
#8
of 15 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 509,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.