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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks
|
|---|---|
| Chapter number | 2 |
| Book title |
IT Convergence and Security 2017
|
| Published in |
arXiv, November 2017
|
| DOI | 10.1007/978-981-10-6451-7_2 |
| Book ISBNs |
978-9-81-106450-0, 978-9-81-106451-7
|
| Authors |
Mundher Al-Shabi, Tee Connie, Andrew Beng Jin Teoh, Michael Goh |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 14% |
| United States | 2 | 14% |
| Brazil | 1 | 7% |
| Norway | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 93% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Lecturer | 2 | 10% |
| Student > Master | 2 | 10% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 50% |
| Environmental Science | 1 | 5% |
| Psychology | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 July 2017.
All research outputs
#5,291,814
of 25,382,440 outputs
Outputs from arXiv
#92,234
of 914,984 outputs
Outputs of similar age
#103,950
of 446,361 outputs
Outputs of similar age from arXiv
#2,110
of 17,931 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 914,984 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 446,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 17,931 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.