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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Smart Augmentation Learning an Optimal Data Augmentation Strategy
|
|---|---|
| Published in |
IEEE Access, May 2017
|
| DOI | 10.1109/access.2017.2696121 |
| Authors |
Joseph Lemley, Shabab Bazrafkan, Peter Corcoran |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 25% |
| Ireland | 2 | 8% |
| Chile | 1 | 4% |
| Spain | 1 | 4% |
| India | 1 | 4% |
| Turkey | 1 | 4% |
| Germany | 1 | 4% |
| Greece | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 71% |
| Scientists | 5 | 21% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 398 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 74 | 19% |
| Student > Ph. D. Student | 66 | 17% |
| Researcher | 46 | 12% |
| Student > Bachelor | 27 | 7% |
| Student > Doctoral Student | 22 | 6% |
| Other | 48 | 12% |
| Unknown | 117 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 153 | 38% |
| Engineering | 79 | 20% |
| Physics and Astronomy | 7 | 2% |
| Agricultural and Biological Sciences | 4 | 1% |
| Social Sciences | 4 | 1% |
| Other | 21 | 5% |
| Unknown | 132 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 02 April 2024.
All research outputs
#1,455,486
of 25,738,558 outputs
Outputs from IEEE Access
#215
of 10,232 outputs
Outputs of similar age
#27,647
of 325,576 outputs
Outputs of similar age from IEEE Access
#2
of 100 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,232 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 325,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.