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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Human Activity Recognition Using Recurrent Neural Networks
|
|---|---|
| Chapter number | 18 |
| Book title |
Machine Learning and Knowledge Extraction
|
| Published in |
arXiv, August 2017
|
| DOI | 10.1007/978-3-319-66808-6_18 |
| Book ISBNs |
978-3-31-966807-9, 978-3-31-966808-6
|
| Authors |
Deepika Singh, Erinc Merdivan, Ismini Psychoula, Johannes Kropf, Sten Hanke, Matthieu Geist, Andreas Holzinger, Singh, Deepika, Merdivan, Erinc, Psychoula, Ismini, Kropf, Johannes, Hanke, Sten, Geist, Matthieu, Holzinger, Andreas |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 16% |
| Student > Master | 20 | 16% |
| Researcher | 14 | 11% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 24 | 19% |
| Unknown | 31 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 50 | 40% |
| Engineering | 28 | 22% |
| Unspecified | 7 | 6% |
| Agricultural and Biological Sciences | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 30 | 24% |
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 25 June 2020.
All research outputs
#14,037,191
of 24,002,307 outputs
Outputs from arXiv
#223,929
of 1,011,770 outputs
Outputs of similar age
#158,600
of 319,084 outputs
Outputs of similar age from arXiv
#4,687
of 20,285 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 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 319,084 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20,285 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.