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Toward a semantic granularity model for domain-specific information retrieval

Overview of attention for article published in ACM Transactions on Information Systems, July 2011
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1 X user

Citations

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40 Dimensions

Readers on

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66 Mendeley
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1 CiteULike
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Title
Toward a semantic granularity model for domain-specific information retrieval
Published in
ACM Transactions on Information Systems, July 2011
DOI 10.1145/1993036.1993039
Authors

Xin Yan, Raymond Y.K. Lau, Dawei Song, Xue Li, Jian Ma

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
India 2 3%
Norway 1 2%
Australia 1 2%
Denmark 1 2%
Korea, Republic of 1 2%
United States 1 2%
Unknown 57 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 11 17%
Professor > Associate Professor 9 14%
Student > Master 8 12%
Student > Bachelor 5 8%
Other 13 20%
Unknown 7 11%
Readers by discipline Count As %
Computer Science 46 70%
Engineering 4 6%
Business, Management and Accounting 2 3%
Arts and Humanities 2 3%
Linguistics 1 2%
Other 4 6%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 November 2011.
All research outputs
#15,317,437
of 22,782,096 outputs
Outputs from ACM Transactions on Information Systems
#414
of 534 outputs
Outputs of similar age
#84,615
of 119,064 outputs
Outputs of similar age from ACM Transactions on Information Systems
#2
of 3 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 534 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 11th percentile – i.e., 11% 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 119,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.