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Mendeley readers
Attention Score in Context
| Title |
Advances in Knowledge Discovery and Data Mining
|
|---|---|
| Published by |
Lecture notes in computer science, April 2016
|
| DOI | 10.1007/978-3-319-31750-2 |
| ISBNs |
978-3-31-931749-6, 978-3-31-931750-2
|
| Authors |
Shah, Zubair, Mahmood, Abdun Naser, Barlow, Michael, Iqbal, Muhammad, Xue, Bing, Zhang, Mengjie, Ghafoori, Zahra, Rajasegarar, Sutharshan, Erfani, Sarah M., Karunasekera, Shanika, Leckie, Christopher A., Huang, Tian, Zhu, Yongxin, Mao, Yishu, Li, Xinyang, Liu, Mengyun, Wu, Yafei, Ha, Yajun, Dobbie, Gillian |
| Editors |
James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang |
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 % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Student > Master | 3 | 15% |
| Researcher | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 20% |
| Engineering | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Linguistics | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 20 January 2022.
All research outputs
#1,759,432
of 22,925,760 outputs
Outputs from Lecture notes in computer science
#299
of 8,129 outputs
Outputs of similar age
#31,071
of 301,036 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 141 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% 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 301,036 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 141 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.