You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Selecting Necessary and Sufficient Checkpoints for Dynamic Verification of Fixed-Time Constraints in Grid Workflow Systems
|
|---|---|
| Published by |
Lecture notes in computer science, January 2006
|
| DOI | 10.1007/11841760 |
| ISBNs |
978-3-54-038901-9, 978-3-54-038903-3
|
| Authors |
Chen, J, Yang, Y |
| Editors |
Schahram Dustdar, José Luiz Fiadeiro, Amit P. Sheth |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Unknown | 26 | 93% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 4% |
| Unknown | 27 | 96% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 July 2022.
All research outputs
#4,745,313
of 22,979,862 outputs
Outputs from Lecture notes in computer science
#1,574
of 8,145 outputs
Outputs of similar age
#19,595
of 155,168 outputs
Outputs of similar age from Lecture notes in computer science
#28
of 146 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 79% 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 155,168 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 81% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.