↓ Skip to main content

TIMBER: A native XML database

Overview of attention for article published in The VLDB Journal, December 2002
Altmetric Badge

Mentioned by

patent
17 patents

Readers on

mendeley
59 Mendeley
citeulike
1 CiteULike
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.
Title
TIMBER: A native XML database
Published in
The VLDB Journal, December 2002
DOI 10.1007/s00778-002-0081-x
Authors

H.V. Jagadish, S. Al-Khalifa, A. Chapman, L.V.S. Lakshmanan, A. Nierman, S. Paparizos, J.M. Patel, D. Srivastava, N. Wiwatwattana, Y. Wu, C. Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 7%
United States 3 5%
United Kingdom 2 3%
Spain 2 3%
France 1 2%
Turkey 1 2%
Unknown 46 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 36%
Student > Master 14 24%
Researcher 8 14%
Other 4 7%
Professor > Associate Professor 3 5%
Other 7 12%
Unknown 2 3%
Readers by discipline Count As %
Computer Science 47 80%
Agricultural and Biological Sciences 3 5%
Social Sciences 2 3%
Business, Management and Accounting 1 2%
Linguistics 1 2%
Other 1 2%
Unknown 4 7%
Attention Score in Context

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 21 January 2020.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from The VLDB Journal
#108
of 366 outputs
Outputs of similar age
#32,489
of 132,255 outputs
Outputs of similar age from The VLDB Journal
#4
of 7 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 9th percentile – i.e., 9% 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 132,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.