| Title |
Extracting influential nodes on a social network for information diffusion
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, October 2009
|
| DOI | 10.1007/s10618-009-0150-5 |
| Authors |
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda |
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 % |
|---|---|---|
| Unknown | 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| India | 2 | 1% |
| Portugal | 1 | <1% |
| Australia | 1 | <1% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Finland | 1 | <1% |
| France | 1 | <1% |
| Other | 8 | 4% |
| Unknown | 170 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 32% |
| Student > Master | 26 | 14% |
| Researcher | 25 | 13% |
| Student > Bachelor | 18 | 9% |
| Professor | 9 | 5% |
| Other | 30 | 16% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 98 | 52% |
| Engineering | 19 | 10% |
| Business, Management and Accounting | 15 | 8% |
| Social Sciences | 8 | 4% |
| Mathematics | 4 | 2% |
| Other | 16 | 8% |
| Unknown | 30 | 16% |
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 22 August 2016.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from Data Mining and Knowledge Discovery
#576
of 656 outputs
Outputs of similar age
#102,236
of 111,611 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#5
of 6 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 656 research outputs from this source. They receive a mean Attention Score of 3.8. 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 111,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.