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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments
|
|---|---|
| Chapter number | 10 |
| Book title |
The Semantic Web – ISWC 2017
|
| Published in |
arXiv, October 2017
|
| DOI | 10.1007/978-3-319-68204-4_10 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-968203-7, 978-3-31-968204-4
|
| Authors |
Rafael S. Gonçalves, Martin J. O’Connor, Marcos Martínez-Romero, Attila L. Egyedi, Debra Willrett, John Graybeal, Mark A. Musen, Martin J. O'Connor, Gonçalves, Rafael S., O’Connor, Martin J., Martínez-Romero, Marcos, Egyedi, Attila L., Willrett, Debra, Graybeal, John, Musen, Mark A. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Researcher | 7 | 18% |
| Student > Master | 6 | 16% |
| Professor | 3 | 8% |
| Other | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 55% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 8 | 21% |
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 17 May 2019.
All research outputs
#19,701,336
of 24,226,848 outputs
Outputs from arXiv
#590,525
of 1,027,652 outputs
Outputs of similar age
#256,303
of 331,697 outputs
Outputs of similar age from arXiv
#16,992
of 22,311 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,027,652 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 25th percentile – i.e., 25% 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 331,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,311 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.