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Mendeley readers
Attention Score in Context
| Chapter title |
Predicting High Impact Academic Papers Using Citation Network Features
|
|---|---|
| Chapter number | 2 |
| Book title |
Trends and Applications in Knowledge Discovery and Data Mining
|
| Published in |
Lecture notes in computer science, April 2013
|
| DOI | 10.1007/978-3-642-40319-4_2 |
| Book ISBNs |
978-3-64-240318-7, 978-3-64-240319-4
|
| Authors |
Daniel McNamara, Paul Wong, Peter Christen, Kee Siong Ng |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 32 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 29% |
| Student > Master | 5 | 15% |
| Student > Postgraduate | 4 | 12% |
| Lecturer | 3 | 9% |
| Other | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 53% |
| Engineering | 2 | 6% |
| Mathematics | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 6 | 18% |
| Unknown | 3 | 9% |
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 26 April 2014.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Lecture notes in computer science
#6,984
of 8,127 outputs
Outputs of similar age
#172,830
of 197,991 outputs
Outputs of similar age from Lecture notes in computer science
#39
of 48 outputs
Altmetric has tracked 22,794,367 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 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. 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 197,991 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 48 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.