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Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems

Overview of attention for article published in Information Retrieval Journal, July 2012
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About this Attention Score

  • Among the highest-scoring outputs from this source (#42 of 184)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
3 CiteULike
Title
Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems
Published in
Information Retrieval Journal, July 2012
DOI 10.1007/s10791-012-9206-z
Authors

Guido Zuccon, Teerapong Leelanupab, Stewart Whiting, Emine Yilmaz, Joemon M. Jose, Leif Azzopardi

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Australia 1 1%
Brazil 1 1%
Ireland 1 1%
Peru 1 1%
United Kingdom 1 1%
Spain 1 1%
Korea, Republic of 1 1%
Unknown 58 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 11 16%
Student > Postgraduate 8 12%
Professor > Associate Professor 7 10%
Student > Bachelor 4 6%
Other 15 22%
Unknown 8 12%
Readers by discipline Count As %
Computer Science 36 54%
Business, Management and Accounting 7 10%
Social Sciences 3 4%
Engineering 3 4%
Economics, Econometrics and Finance 2 3%
Other 6 9%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 August 2014.
All research outputs
#6,572,146
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#42
of 184 outputs
Outputs of similar age
#44,214
of 167,406 outputs
Outputs of similar age from Information Retrieval Journal
#1
of 6 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 76% 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 167,406 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 73% of its contemporaries.
We're also able to compare this research output to 6 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