| Title |
Grand challenges in data integration—state of the art and future perspectives: an introduction
|
|---|---|
| Published in |
Scientometrics, March 2016
|
| DOI | 10.1007/s11192-016-1914-5 |
| Authors |
Cinzia Daraio, Wolfgang Glänzel |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Hungary | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 47 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 18 | 36% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 34% |
| Social Sciences | 10 | 20% |
| Business, Management and Accounting | 6 | 12% |
| Unspecified | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 5 | 10% |
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 31 October 2017.
All research outputs
#3,732,900
of 22,862,742 outputs
Outputs from Scientometrics
#751
of 2,683 outputs
Outputs of similar age
#59,196
of 299,398 outputs
Outputs of similar age from Scientometrics
#15
of 73 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,683 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 72% 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 299,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.