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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Neural Gas Based Classification of Globular Clusters
|
|---|---|
| Chapter number | 7 |
| Book title |
Data Analytics and Management in Data Intensive Domains
|
| Published in |
arXiv, October 2017
|
| DOI | 10.1007/978-3-319-96553-6_7 |
| Book ISBNs |
978-3-31-996552-9, 978-3-31-996553-6
|
| Authors |
Giuseppe Angora, Massimo Brescia, Stefano Cavuoti, Giuseppe Riccio, Maurizio Paolillo, Thomas H. Puzia, Angora, Giuseppe, Brescia, Massimo, Cavuoti, Stefano, Riccio, Giuseppe, Paolillo, Maurizio, Puzia, Thomas H. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 25% |
| Student > Ph. D. Student | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Professor | 1 | 13% |
| Researcher | 1 | 13% |
| Other | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 3 | 38% |
| Computer Science | 2 | 25% |
| Agricultural and Biological Sciences | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 23 February 2018.
All research outputs
#4,215,368
of 23,822,306 outputs
Outputs from arXiv
#84,740
of 987,304 outputs
Outputs of similar age
#73,689
of 325,870 outputs
Outputs of similar age from arXiv
#1,748
of 21,301 outputs
Altmetric has tracked 23,822,306 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 987,304 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 90% 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 325,870 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 77% of its contemporaries.
We're also able to compare this research output to 21,301 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 91% of its contemporaries.