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Overcoming low-utility facets for complex answer retrieval

Overview of attention for article published in Information Retrieval Journal, October 2018
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Mentioned by

twitter
3 X users

Citations

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6 Dimensions

Readers on

mendeley
23 Mendeley
Title
Overcoming low-utility facets for complex answer retrieval
Published in
Information Retrieval Journal, October 2018
DOI 10.1007/s10791-018-9343-0
Authors

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Researcher 4 17%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 1 4%
Other 1 4%
Unknown 7 30%
Readers by discipline Count As %
Computer Science 11 48%
Business, Management and Accounting 2 9%
Linguistics 1 4%
Nursing and Health Professions 1 4%
Economics, Econometrics and Finance 1 4%
Other 0 0%
Unknown 7 30%
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 23 November 2018.
All research outputs
#16,454,538
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#145
of 184 outputs
Outputs of similar age
#224,301
of 354,037 outputs
Outputs of similar age from Information Retrieval Journal
#3
of 4 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 9th percentile – i.e., 9% 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 354,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.