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The SHARC framework for data quality in Web archiving

Overview of attention for article published in The VLDB Journal — The International Journal on Very Large Data Bases, March 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
27 Mendeley
Title
The SHARC framework for data quality in Web archiving
Published in
The VLDB Journal — The International Journal on Very Large Data Bases, March 2011
DOI 10.1007/s00778-011-0219-9
Authors

Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Master 7 26%
Librarian 3 11%
Researcher 3 11%
Student > Postgraduate 2 7%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 12 44%
Social Sciences 6 22%
Arts and Humanities 4 15%
Economics, Econometrics and Finance 1 4%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 October 2013.
All research outputs
#3,501,411
of 12,228,633 outputs
Outputs from The VLDB Journal — The International Journal on Very Large Data Bases
#55
of 256 outputs
Outputs of similar age
#88,408
of 294,427 outputs
Outputs of similar age from The VLDB Journal — The International Journal on Very Large Data Bases
#1
of 2 outputs
Altmetric has tracked 12,228,633 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 5th percentile – i.e., 5% 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 294,427 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 2 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