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Efficient supervised and semi-supervised approaches for affiliations disambiguation

Overview of attention for article published in Scientometrics, April 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
1 CiteULike
Title
Efficient supervised and semi-supervised approaches for affiliations disambiguation
Published in
Scientometrics, April 2013
DOI 10.1007/s11192-013-1025-5
Authors

Pascal Cuxac, Jean-Charles Lamirel, Valerie Bonvallot

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
Malaysia 1 3%
Guatemala 1 3%
Netherlands 1 3%
Denmark 1 3%
United States 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 5 14%
Professor > Associate Professor 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Other 9 25%
Unknown 5 14%
Readers by discipline Count As %
Social Sciences 8 22%
Computer Science 8 22%
Business, Management and Accounting 4 11%
Arts and Humanities 2 6%
Agricultural and Biological Sciences 2 6%
Other 3 8%
Unknown 9 25%
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 11 November 2015.
All research outputs
#7,518,189
of 22,953,506 outputs
Outputs from Scientometrics
#1,317
of 2,689 outputs
Outputs of similar age
#65,107
of 192,897 outputs
Outputs of similar age from Scientometrics
#11
of 30 outputs
Altmetric has tracked 22,953,506 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 2,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 40th percentile – i.e., 40% 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 192,897 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 50% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.