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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Facial Expression Recognition Using a Hybrid CNN–SIFT Aggregator
|
|---|---|
| Chapter number | 12 |
| Book title |
Multi-disciplinary Trends in Artificial Intelligence
|
| Published in |
arXiv, November 2017
|
| DOI | 10.1007/978-3-319-69456-6_12 |
| Book ISBNs |
978-3-31-969455-9, 978-3-31-969456-6
|
| Authors |
Mundher Ahmed Al-Shabi, Wooi Ping Cheah, Tee Connie, Mundher Al-Shabi, Michael Goh, Connie, Tee, Al-Shabi, Mundher, Cheah, Wooi Ping, Goh, Michael |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Georgia | 1 | 7% |
| Germany | 1 | 7% |
| United States | 1 | 7% |
| United Kingdom | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 9 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 93% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 18% |
| Student > Master | 16 | 13% |
| Student > Bachelor | 16 | 13% |
| Student > Postgraduate | 5 | 4% |
| Student > Doctoral Student | 4 | 3% |
| Other | 19 | 15% |
| Unknown | 41 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 55 | 45% |
| Engineering | 17 | 14% |
| Unspecified | 3 | 2% |
| Linguistics | 1 | <1% |
| Mathematics | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 44 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 June 2020.
All research outputs
#3,542,155
of 25,214,112 outputs
Outputs from arXiv
#62,477
of 1,027,436 outputs
Outputs of similar age
#72,676
of 450,384 outputs
Outputs of similar age from arXiv
#1,367
of 19,783 outputs
Altmetric has tracked 25,214,112 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,027,436 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 450,384 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 83% of its contemporaries.
We're also able to compare this research output to 19,783 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 93% of its contemporaries.