| Title |
Large-scale linked data integration using probabilistic reasoning and crowdsourcing
|
|---|---|
| Published in |
The VLDB Journal, July 2013
|
| DOI | 10.1007/s00778-013-0324-z |
| Authors |
Gianluca Demartini, Djellel Eddine Difallah, Philippe Cudré-Mauroux |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| China | 2 | 2% |
| Cyprus | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 104 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 32% |
| Student > Master | 24 | 20% |
| Researcher | 10 | 8% |
| Student > Doctoral Student | 9 | 8% |
| Student > Postgraduate | 7 | 6% |
| Other | 26 | 22% |
| Unknown | 5 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 85 | 71% |
| Engineering | 9 | 8% |
| Social Sciences | 4 | 3% |
| Economics, Econometrics and Finance | 1 | <1% |
| Psychology | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 15 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 January 2024.
All research outputs
#7,607,838
of 23,842,189 outputs
Outputs from The VLDB Journal
#104
of 366 outputs
Outputs of similar age
#64,200
of 198,982 outputs
Outputs of similar age from The VLDB Journal
#3
of 7 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 has gotten more attention than average, scoring higher than 71% 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 198,982 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 66% of its contemporaries.
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 4 of them.