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Utilizing passage-based language models for ad hoc document retrieval

Overview of attention for article published in Information Retrieval Journal, November 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 184)
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
27 Mendeley
citeulike
1 CiteULike
Title
Utilizing passage-based language models for ad hoc document retrieval
Published in
Information Retrieval Journal, November 2009
DOI 10.1007/s10791-009-9118-8
Authors

Michael Bendersky, Oren Kurland

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Ireland 1 4%
Italy 1 4%
Korea, Republic of 1 4%
Japan 1 4%
Unknown 22 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 33%
Researcher 4 15%
Other 2 7%
Professor > Associate Professor 2 7%
Student > Master 2 7%
Other 5 19%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 22 81%
Arts and Humanities 1 4%
Engineering 1 4%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 May 2014.
All research outputs
#5,096,783
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#22
of 184 outputs
Outputs of similar age
#19,893
of 98,079 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. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 184 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 85% 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 98,079 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 79% 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