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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics
|
|---|---|
| Chapter number | 38 |
| Book title |
Euro-Par 2014 Parallel Processing
|
| Published in |
arXiv, November 2013
|
| DOI | 10.1007/978-3-319-09873-9_38 |
| Book ISBNs |
978-3-31-909872-2, 978-3-31-909873-9
|
| Authors |
Yogesh Simmhan, Alok Kumbhare, Charith Wickramaarachchi, Soonil Nagarkar, Santosh Ravi, Cauligi Raghavendra, Viktor Prasanna, Simmhan, Yogesh, Kumbhare, Alok, Wickramaarachchi, Charith, Nagarkar, Soonil, Ravi, Santosh, Raghavendra, Cauligi, Prasanna, Viktor |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 17% |
| Norway | 1 | 17% |
| Philippines | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 2% |
| United States | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 61 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 34% |
| Student > Ph. D. Student | 17 | 27% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Researcher | 5 | 8% |
| Other | 6 | 9% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 50 | 78% |
| Engineering | 5 | 8% |
| Mathematics | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 6 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 September 2017.
All research outputs
#7,408,286
of 23,508,125 outputs
Outputs from arXiv
#161,276
of 972,279 outputs
Outputs of similar age
#87,425
of 305,700 outputs
Outputs of similar age from arXiv
#859
of 10,135 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 972,279 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 305,700 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 10,135 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.