| Title |
A General Model for Authenticated Data Structures
|
|---|---|
| Published in |
Algorithmica, January 2004
|
| DOI | 10.1007/s00453-003-1076-8 |
| Authors |
Charles Martel, Glen Nuckolls, Premkumar Devanbu, Michael Gertz, April Kwong, Stuart G. Stubblebine |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| India | 1 | 2% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Student > Master | 7 | 17% |
| Researcher | 7 | 17% |
| Professor > Associate Professor | 3 | 7% |
| Professor | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 76% |
| Social Sciences | 2 | 5% |
| Environmental Science | 1 | 2% |
| Engineering | 1 | 2% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 December 2019.
All research outputs
#3,315,928
of 23,033,713 outputs
Outputs from Algorithmica
#19
of 420 outputs
Outputs of similar age
#9,170
of 134,430 outputs
Outputs of similar age from Algorithmica
#1
of 3 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 134,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them