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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
|
|---|---|
| Chapter number | 23 |
| Book title |
Computer Vision – ECCV 2014
|
| Published in |
arXiv, September 2014
|
| DOI | 10.1007/978-3-319-10578-9_23 |
| Book ISBNs |
978-3-31-910577-2, 978-3-31-910578-9
|
| Authors |
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, Sun, Jian |
X Demographics
The data shown below were collected from the profiles of 38 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 | 16% |
| Japan | 4 | 11% |
| Germany | 3 | 8% |
| China | 2 | 5% |
| Greece | 1 | 3% |
| Nepal | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 20 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 84% |
| Scientists | 6 | 16% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,779 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 2 | <1% |
| Japan | 2 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Hong Kong | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 2765 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 549 | 20% |
| Student > Ph. D. Student | 459 | 17% |
| Student > Bachelor | 266 | 10% |
| Researcher | 195 | 7% |
| Other | 105 | 4% |
| Other | 239 | 9% |
| Unknown | 966 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1099 | 40% |
| Engineering | 429 | 15% |
| Mathematics | 40 | 1% |
| Physics and Astronomy | 28 | 1% |
| Agricultural and Biological Sciences | 19 | <1% |
| Other | 124 | 4% |
| Unknown | 1040 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 12 August 2023.
All research outputs
#629,197
of 25,476,463 outputs
Outputs from arXiv
#7,767
of 921,891 outputs
Outputs of similar age
#6,062
of 250,208 outputs
Outputs of similar age from arXiv
#41
of 10,105 outputs
Altmetric has tracked 25,476,463 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 921,891 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 250,208 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 10,105 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.