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Neural information retrieval: at the end of the early years

Overview of attention for article published in Information Retrieval Journal, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 184)
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

twitter
8 X users
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
209 Mendeley
Title
Neural information retrieval: at the end of the early years
Published in
Information Retrieval Journal, November 2017
DOI 10.1007/s10791-017-9321-y
Authors

Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 209 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 18%
Student > Master 36 17%
Researcher 22 11%
Student > Doctoral Student 13 6%
Other 12 6%
Other 38 18%
Unknown 51 24%
Readers by discipline Count As %
Computer Science 120 57%
Engineering 6 3%
Mathematics 5 2%
Linguistics 3 1%
Business, Management and Accounting 3 1%
Other 7 3%
Unknown 65 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 2023.
All research outputs
#3,065,026
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#7
of 184 outputs
Outputs of similar age
#57,221
of 332,272 outputs
Outputs of similar age from Information Retrieval Journal
#1
of 3 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 87th 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 particularly well, scoring higher than 96% 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 332,272 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 82% of its contemporaries.
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. This one has scored higher than all of them