The Semantic Web – ISWC 2023
Springer Nature Switzerland
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X Demographics
Mendeley readers
| Chapter title |
The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF
|
|---|---|
| Book title |
The Semantic Web – ISWC 2023
|
| Published by |
Springer, Cham, October 2023
|
| DOI | 10.1007/978-3-031-47243-5_9 |
| Book ISBNs |
978-3-03-147242-8, 978-3-03-147243-5
|
| Authors |
Iglesias-Molina, Ana, Van Assche, Dylan, Arenas-Guerrero, Julián, De Meester, Ben, Debruyne, Christophe, Jozashoori, Samaneh, Maria, Pano, Michel, Franck, Chaves-Fraga, David, Dimou, Anastasia |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 19% |
| Belgium | 2 | 6% |
| Peru | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Unknown | 21 | 66% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 56% |
| Scientists | 13 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Computer Science | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Unknown | 5 | 63% |