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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
NoSQL Databases for RDF: An Empirical Evaluation
|
|---|---|
| Chapter number | 20 |
| Book title |
The Semantic Web – ISWC 2013
|
| Published in |
Lecture notes in computer science, January 2013
|
| DOI | 10.1007/978-3-642-41338-4_20 |
| Book ISBNs |
978-3-64-241337-7, 978-3-64-241338-4
|
| Authors |
Philippe Cudré-Mauroux, Iliya Enchev, Sever Fundatureanu, Paul Groth, Albert Haque, Andreas Harth, Felix Leif Keppmann, Daniel Miranker, Juan F. Sequeda, Marcin Wylot, Philippe Cudré-Mauroux |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 3% |
| Germany | 3 | 2% |
| Netherlands | 2 | 1% |
| Turkey | 2 | 1% |
| Belgium | 2 | 1% |
| Austria | 2 | 1% |
| Brazil | 2 | 1% |
| Ecuador | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 11 | 6% |
| Unknown | 145 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 26% |
| Researcher | 32 | 18% |
| Student > Master | 32 | 18% |
| Student > Bachelor | 17 | 10% |
| Student > Doctoral Student | 10 | 6% |
| Other | 25 | 14% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 125 | 71% |
| Engineering | 13 | 7% |
| Design | 3 | 2% |
| Business, Management and Accounting | 3 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 19 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 October 2013.
All research outputs
#15,283,138
of 22,727,570 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,126 outputs
Outputs of similar age
#181,562
of 280,760 outputs
Outputs of similar age from Lecture notes in computer science
#192
of 314 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 280,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.