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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data Quality Assessment
|
|---|---|
| Chapter number | 44 |
| Book title |
Knowledge Engineering and Knowledge Management
|
| Published in |
Lecture notes in computer science, November 2016
|
| DOI | 10.1007/978-3-319-49004-5_44 |
| Book ISBNs |
978-3-31-949003-8, 978-3-31-949004-5
|
| Authors |
Umair ul Hassan, Amrapali Zaveri, Edgard Marx, Edward Curry, Jens Lehmann, ul Hassan, Umair, Zaveri, Amrapali, Marx, Edgard, Curry, Edward, Lehmann, Jens |
| Editors |
Eva Blomqvist, Paolo Ciancarini, Francesco Poggi, Fabio Vitali |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 2 | 11% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Master | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Postgraduate | 2 | 11% |
| Librarian | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 63% |
| Engineering | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 5% |
| Unknown | 4 | 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 30 May 2022.
All research outputs
#21,270,045
of 23,891,012 outputs
Outputs from Lecture notes in computer science
#7,026
of 8,162 outputs
Outputs of similar age
#272,554
of 313,900 outputs
Outputs of similar age from Lecture notes in computer science
#319
of 372 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 313,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 372 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.