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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
|
|---|---|
| Chapter number | 33 |
| Book title |
Algorithms and Architectures for Parallel Processing
|
| Published in |
arXiv, November 2018
|
| DOI | 10.1007/978-3-030-05051-1_33 |
| Book ISBNs |
978-3-03-005050-4, 978-3-03-005051-1
|
| Authors |
Sergii Stirenko, Gang Peng, Wei Zeng, Yuri Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko, Peng Gang, Ivan Pavliuchenko, Anis Rojbi, Stirenko, Sergii, Gang, Peng, Zeng, Wei, Gordienko, Yuri, Alienin, Oleg, Rokovyi, Oleksandr, Gordienko, Nikita, Pavliuchenko, Ivan, Rojbi, Anis |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Student > Doctoral Student | 3 | 21% |
| Student > Master | 2 | 14% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 43% |
| Computer Science | 4 | 29% |
| Energy | 1 | 7% |
| Arts and Humanities | 1 | 7% |
| Unknown | 2 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 September 2018.
All research outputs
#14,345,282
of 24,099,692 outputs
Outputs from arXiv
#237,404
of 1,020,419 outputs
Outputs of similar age
#178,009
of 347,381 outputs
Outputs of similar age from arXiv
#6,996
of 26,637 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 74% 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 347,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26,637 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 70% of its contemporaries.