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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
SSD: Single Shot MultiBox Detector
|
|---|---|
| Chapter number | 2 |
| Book title |
Computer Vision – ECCV 2016
|
| Published in |
arXiv, September 2016
|
| DOI | 10.1007/978-3-319-46448-0_2 |
| Book ISBNs |
978-3-31-946447-3, 978-3-31-946448-0
|
| Authors |
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg, Liu, Wei, Anguelov, Dragomir, Erhan, Dumitru, Szegedy, Christian, Reed, Scott, Fu, Cheng-Yang, Berg, Alexander C. |
| Editors |
Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling |
X Demographics
The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 9 | 13% |
| United States | 5 | 7% |
| India | 2 | 3% |
| France | 2 | 3% |
| Mexico | 1 | 1% |
| Singapore | 1 | 1% |
| Finland | 1 | 1% |
| Turkey | 1 | 1% |
| Burundi | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 43 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 61 | 86% |
| Scientists | 9 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 13,772 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 9 | <1% |
| United States | 5 | <1% |
| Russia | 4 | <1% |
| Japan | 4 | <1% |
| Australia | 3 | <1% |
| Turkey | 3 | <1% |
| Israel | 2 | <1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| Other | 9 | <1% |
| Unknown | 13729 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2549 | 19% |
| Student > Ph. D. Student | 1942 | 14% |
| Student > Bachelor | 1466 | 11% |
| Researcher | 1250 | 9% |
| Other | 508 | 4% |
| Other | 1238 | 9% |
| Unknown | 4819 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5280 | 38% |
| Engineering | 2420 | 18% |
| Agricultural and Biological Sciences | 125 | <1% |
| Mathematics | 124 | <1% |
| Physics and Astronomy | 112 | <1% |
| Other | 554 | 4% |
| Unknown | 5157 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 123. 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
#344,560
of 25,837,817 outputs
Outputs from arXiv
#3,886
of 938,014 outputs
Outputs of similar age
#6,528
of 333,149 outputs
Outputs of similar age from arXiv
#64
of 12,804 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 333,149 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 97% of its contemporaries.
We're also able to compare this research output to 12,804 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 99% of its contemporaries.