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A Neural Conversational Model

Overview of attention for article published in arXiv, June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 493,780)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
26 news outlets
blogs
9 blogs
twitter
1200 tweeters
facebook
40 Facebook pages
wikipedia
1 Wikipedia page
googleplus
163 Google+ users
reddit
13 Redditors

Readers on

mendeley
635 Mendeley
Title
A Neural Conversational Model
Published in
arXiv, June 2015
Authors

Oriol Vinyals, Quoc Le

Twitter Demographics

The data shown below were collected from the profiles of 1,200 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 635 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
United Kingdom 6 <1%
Germany 5 <1%
Japan 5 <1%
Italy 3 <1%
Spain 3 <1%
Brazil 3 <1%
Netherlands 3 <1%
Australia 2 <1%
Other 24 4%
Unknown 564 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 154 24%
Student > Ph. D. Student 139 22%
Researcher 105 17%
Student > Bachelor 83 13%
Other 57 9%
Other 97 15%
Readers by discipline Count As %
Computer Science 434 68%
Engineering 51 8%
Agricultural and Biological Sciences 25 4%
Physics and Astronomy 21 3%
Mathematics 15 2%
Other 89 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1457. 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 08 September 2017.
All research outputs
#820
of 8,667,512 outputs
Outputs from arXiv
#11
of 493,780 outputs
Outputs of similar age
#20
of 230,171 outputs
Outputs of similar age from arXiv
#1
of 24,719 outputs
Altmetric has tracked 8,667,512 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 493,780 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 230,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 24,719 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.