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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mariposa: a wide-area distributed database system
|
|---|---|
| Published in |
The VLDB Journal, January 1996
|
| DOI | 10.1007/s007780050015 |
| Authors |
Michael Stonebraker, Paul M. Aoki, Witold Litwin, Avi Pfeffer, Adam Sah, Jeff Sidell, Carl Staelin, Andrew Yu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 7% |
| Germany | 2 | 2% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Jamaica | 1 | <1% |
| Philippines | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 88 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 39% |
| Student > Master | 20 | 19% |
| Researcher | 10 | 10% |
| Professor | 7 | 7% |
| Other | 6 | 6% |
| Other | 18 | 17% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 93 | 89% |
| Engineering | 4 | 4% |
| Arts and Humanities | 2 | 2% |
| Earth and Planetary Sciences | 1 | <1% |
| Social Sciences | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 2 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 October 2023.
All research outputs
#3,469,420
of 24,607,331 outputs
Outputs from The VLDB Journal
#18
of 378 outputs
Outputs of similar age
#3,787
of 82,841 outputs
Outputs of similar age from The VLDB Journal
#1
of 2 outputs
Altmetric has tracked 24,607,331 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 95% 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 82,841 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 95% 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