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Dynamic author name disambiguation for growing digital libraries

Overview of attention for article published in Information Retrieval Journal, July 2015
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About this Attention Score

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

Mentioned by

twitter
4 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
59 Mendeley
Title
Dynamic author name disambiguation for growing digital libraries
Published in
Information Retrieval Journal, July 2015
DOI 10.1007/s10791-015-9261-3
Authors

Yanan Qian, Qinghua Zheng, Tetsuya Sakai, Junting Ye, Jun Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 15%
Researcher 8 14%
Student > Ph. D. Student 7 12%
Student > Master 5 8%
Lecturer 2 3%
Other 7 12%
Unknown 21 36%
Readers by discipline Count As %
Computer Science 25 42%
Mathematics 2 3%
Arts and Humanities 2 3%
Social Sciences 2 3%
Unspecified 1 2%
Other 4 7%
Unknown 23 39%
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 24 July 2015.
All research outputs
#13,571,473
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#123
of 184 outputs
Outputs of similar age
#116,641
of 268,204 outputs
Outputs of similar age from Information Retrieval Journal
#1
of 2 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 184 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 31st percentile – i.e., 31% 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 268,204 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 56% 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