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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Knowledge Engineering and Knowledge Management
|
|---|---|
| Published by |
Lecture notes in computer science, January 2015
|
| DOI | 10.1007/978-3-319-17966-7 |
| ISBNs |
978-3-31-917965-0, 978-3-31-917966-7
|
| Authors |
Patrick Lambrix, Eero Hyvönen, Eva Blomqvist, Valentina Presutti, Guilin Qi, Uli Sattler, Ying Ding, Chiara Ghidini |
| Editors |
Patrick Lambrix, Eero Hyvönen, Eva Blomqvist, Valentina Presutti, Guilin Qi, Uli Sattler, Ying Ding, Chiara Ghidini |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| South Africa | 1 | <1% |
| Finland | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Egypt | 1 | <1% |
| Kuwait | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 134 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 25% |
| Student > Ph. D. Student | 31 | 21% |
| Researcher | 22 | 15% |
| Student > Doctoral Student | 15 | 10% |
| Student > Bachelor | 11 | 8% |
| Other | 24 | 17% |
| Unknown | 6 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 84 | 58% |
| Engineering | 16 | 11% |
| Social Sciences | 6 | 4% |
| Business, Management and Accounting | 5 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 18 | 12% |
| Unknown | 12 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 15 April 2019.
All research outputs
#2,440,991
of 22,807,037 outputs
Outputs from Lecture notes in computer science
#510
of 8,124 outputs
Outputs of similar age
#36,465
of 353,089 outputs
Outputs of similar age from Lecture notes in computer science
#40
of 257 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% of its peers.
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 353,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.