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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
|
|---|---|
| Published by |
arXiv, July 2019
|
| DOI | 10.1007/978-3-030-19642-4 |
| ISBNs |
978-3-03-019641-7, 978-3-03-019642-4
|
| Authors |
Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer |
| Editors |
Vellido, Alfredo, Gibert, Karina, Angulo, Cecilio, Martín Guerrero, José David |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 15% |
| United States | 2 | 10% |
| Spain | 1 | 5% |
| India | 1 | 5% |
| France | 1 | 5% |
| Netherlands | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 10 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 70% |
| Scientists | 5 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 43% |
| Professor | 1 | 7% |
| Other | 1 | 7% |
| Researcher | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 50% |
| Mathematics | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 5 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 March 2020.
All research outputs
#1,963,601
of 24,099,692 outputs
Outputs from arXiv
#32,862
of 1,020,419 outputs
Outputs of similar age
#42,073
of 351,977 outputs
Outputs of similar age from arXiv
#1,056
of 28,838 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 351,977 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 88% of its contemporaries.
We're also able to compare this research output to 28,838 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 96% of its contemporaries.