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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Euro-Par 2013: Parallel Processing Workshops
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-642-54420-0 |
| ISBNs |
978-3-64-254419-4, 978-3-64-254420-0
|
| Authors |
Gracia-Perez, D, Lorenzo del Castillo, JA, Al-Hazmi, Y, Martrat, J, Kavoussanakis, K, Hume, AC, Lopez, CV, Landi, G, Wauters, Tim, Gienger, M, Margery, D |
| Editors |
Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario Cannataro, Carsten Clauss, Alexandru Costan, Gabor Kecskemeti, Christine Morin, Laura Ricci, Julio Sahuquillo, Martin Schulz, Vittorio Scarano, Stephen L. Scott, Josef Weidendorfer |
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 % |
|---|---|---|
| Spain | 2 | 50% |
| United States | 1 | 25% |
| Japan | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 11% |
| Student > Ph. D. Student | 7 | 7% |
| Researcher | 5 | 5% |
| Student > Bachelor | 1 | 1% |
| Student > Doctoral Student | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 71 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 19% |
| Engineering | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Mathematics | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 71 | 72% |
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 10 November 2016.
All research outputs
#2,711,516
of 22,867,327 outputs
Outputs from Lecture notes in computer science
#576
of 8,127 outputs
Outputs of similar age
#33,010
of 305,621 outputs
Outputs of similar age from Lecture notes in computer science
#36
of 280 outputs
Altmetric has tracked 22,867,327 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 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 92% 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 305,621 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 89% of its contemporaries.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.