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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Towards Self-explanatory Ontology Visualization with Contextual Verbalization
|
|---|---|
| Chapter number | 1 |
| Book title |
Databases and Information Systems
|
| Published in |
arXiv, January 2016
|
| DOI | 10.1007/978-3-319-40180-5_1 |
| Book ISBNs |
978-3-31-940179-9, 978-3-31-940180-5
|
| Authors |
Renārs Liepiņš, Uldis Bojārs, Normunds Grūzītis, Kārlis Čerāns, Edgars Celms |
| Editors |
Guntis Arnicans, Vineta Arnicane, Juris Borzovs, Laila Niedrite |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Researcher | 2 | 13% |
| Professor | 2 | 13% |
| Student > Master | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 69% |
| Engineering | 1 | 6% |
| Unknown | 4 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 July 2016.
All research outputs
#5,521,993
of 22,879,161 outputs
Outputs from arXiv
#110,883
of 939,641 outputs
Outputs of similar age
#87,378
of 393,709 outputs
Outputs of similar age from arXiv
#1,040
of 13,672 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 939,641 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 393,709 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 13,672 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 92% of its contemporaries.