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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Topology and evolution of the network of western classical music composers
|
|---|---|
| Published in |
EPJ Data Science, April 2015
|
| DOI | 10.1140/epjds/s13688-015-0039-z |
| Authors |
Doheum Park, Arram Bae, Maximilian Schich, Juyong Park |
X Demographics
The data shown below were collected from the profiles of 79 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 | 15 | 19% |
| United Kingdom | 7 | 9% |
| Spain | 6 | 8% |
| Italy | 4 | 5% |
| Japan | 2 | 3% |
| Mexico | 2 | 3% |
| Germany | 2 | 3% |
| Canada | 2 | 3% |
| Colombia | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 31 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 56 | 71% |
| Scientists | 20 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Japan | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Unknown | 62 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Student > Bachelor | 11 | 17% |
| Researcher | 8 | 12% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 22% |
| Social Sciences | 7 | 11% |
| Arts and Humanities | 6 | 9% |
| Physics and Astronomy | 5 | 8% |
| Engineering | 4 | 6% |
| Other | 18 | 28% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 31 May 2016.
All research outputs
#450,597
of 25,027,251 outputs
Outputs from EPJ Data Science
#28
of 423 outputs
Outputs of similar age
#5,078
of 271,170 outputs
Outputs of similar age from EPJ Data Science
#2
of 5 outputs
Altmetric has tracked 25,027,251 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 423 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has done particularly well, scoring higher than 93% 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 271,170 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 98% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.