Knowledge Engineering and Knowledge Management
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An Open Repository Model for Acquiring Knowledge About Scientific Experiments
|
|---|---|
| Chapter number | 49 |
| Book title |
Knowledge Engineering and Knowledge Management
|
| Published in |
Lecture notes in computer science, November 2016
|
| DOI | 10.1007/978-3-319-49004-5_49 |
| Book ISBNs |
978-3-31-949003-8, 978-3-31-949004-5
|
| Authors |
Martin J. O’Connor, Marcos Martínez-Romero, Attila L. Egyedi, Debra Willrett, John Graybeal, Mark A. Musen |
| Editors |
Eva Blomqvist, Paolo Ciancarini, Francesco Poggi, Fabio Vitali |
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.
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 % |
|---|---|---|
| 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 30% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Master | 3 | 15% |
| Librarian | 2 | 10% |
| Professor | 2 | 10% |
| Other | 3 | 15% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 75% |
| Medicine and Dentistry | 3 | 15% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unknown | 1 | 5% |
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 November 2016.
All research outputs
#15,393,913
of 22,901,818 outputs
Outputs from Lecture notes in computer science
#4,649
of 8,128 outputs
Outputs of similar age
#195,516
of 311,298 outputs
Outputs of similar age from Lecture notes in computer science
#206
of 363 outputs
Altmetric has tracked 22,901,818 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 8,128 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 311,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 363 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.