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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Object Classification in Images of Neoclassical Furniture Using Deep Learning
|
|---|---|
| Chapter number | 10 |
| Book title |
Computational History and Data-Driven Humanities
|
| Published in |
arXiv, November 2016
|
| DOI | 10.1007/978-3-319-46224-0_10 |
| Book ISBNs |
978-3-31-946223-3, 978-3-31-946224-0
|
| Authors |
Bernhard Bermeitinger, André Freitas, Simon Donig, Siegfried Handschuh, Bermeitinger, Bernhard, Freitas, André, Donig, Simon, Handschuh, Siegfried |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Netherlands | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Master | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 41% |
| Engineering | 2 | 12% |
| Arts and Humanities | 1 | 6% |
| Social Sciences | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 October 2017.
All research outputs
#2,725,323
of 22,965,074 outputs
Outputs from arXiv
#48,711
of 942,140 outputs
Outputs of similar age
#48,408
of 312,043 outputs
Outputs of similar age from arXiv
#1,010
of 16,678 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942,140 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 312,043 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 84% of its contemporaries.
We're also able to compare this research output to 16,678 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.