You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Improving Data Quality Through Deep Learning and Statistical Models
|
|---|---|
| Chapter number | 66 |
| Book title |
Information Technology - New Generations
|
| Published in |
arXiv, January 2018
|
| DOI | 10.1007/978-3-319-54978-1_66 |
| Book ISBNs |
978-3-31-954977-4, 978-3-31-954978-1
|
| Authors |
Wei Dai, Kenji Yoshigoe, William Parsley, Dai, Wei, Yoshigoe, Kenji, Parsley, William |
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 % |
|---|---|---|
| Germany | 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Student > Master | 12 | 16% |
| Researcher | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 33% |
| Engineering | 11 | 14% |
| Business, Management and Accounting | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 25 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 November 2023.
All research outputs
#6,502,318
of 24,099,692 outputs
Outputs from arXiv
#133,741
of 1,020,419 outputs
Outputs of similar age
#125,317
of 449,934 outputs
Outputs of similar age from arXiv
#3,105
of 21,616 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 done well, scoring higher than 86% 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 449,934 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 71% of its contemporaries.
We're also able to compare this research output to 21,616 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.