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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Open Government Data Catalogs: Current Approaches and Quality Perspective
|
|---|---|
| Chapter number | 13 |
| Book title |
Technology-Enabled Innovation for Democracy, Government and Governance
|
| Published in |
Lecture notes in computer science, August 2013
|
| DOI | 10.1007/978-3-642-40160-2_13 |
| Book ISBNs |
978-3-64-240159-6, 978-3-64-240160-2
|
| Authors |
Jan Kučera, Dušan Chlapek, Martin Nečaský |
| Editors |
Andrea Kő, Christine Leitner, Herbert Leitold, Alexander Prosser |
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 % |
|---|---|---|
| Germany | 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 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | <1% |
| Mexico | 1 | <1% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| Unknown | 292 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 20% |
| Student > Master | 40 | 13% |
| Student > Doctoral Student | 35 | 12% |
| Researcher | 21 | 7% |
| Professor > Associate Professor | 15 | 5% |
| Other | 56 | 19% |
| Unknown | 70 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 86 | 29% |
| Social Sciences | 46 | 15% |
| Business, Management and Accounting | 45 | 15% |
| Engineering | 8 | 3% |
| Economics, Econometrics and Finance | 7 | 2% |
| Other | 29 | 10% |
| Unknown | 76 | 26% |
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 12 December 2017.
All research outputs
#18,531,724
of 22,953,506 outputs
Outputs from Lecture notes in computer science
#6,019
of 8,133 outputs
Outputs of similar age
#149,925
of 200,324 outputs
Outputs of similar age from Lecture notes in computer science
#140
of 179 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,133 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 200,324 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 179 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.