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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An FPTAS for Stochastic Unbounded Min-Knapsack Problem
|
|---|---|
| Chapter number | 11 |
| Book title |
Frontiers in Algorithmics
|
| Published in |
arXiv, April 2019
|
| DOI | 10.1007/978-3-030-18126-0_11 |
| Book ISBNs |
978-3-03-018125-3, 978-3-03-018126-0
|
| Authors |
Zhihao Jiang, Haoyu Zhao, Jiang, Zhihao, Zhao, Haoyu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 33% |
| Researcher | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 67% |
| Chemical Engineering | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 March 2019.
All research outputs
#15,332,207
of 23,577,654 outputs
Outputs from arXiv
#333,594
of 973,463 outputs
Outputs of similar age
#207,993
of 351,599 outputs
Outputs of similar age from arXiv
#9,858
of 27,620 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 973,463 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% 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 351,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,620 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.