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Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources

Overview of attention for article published in arXiv, February 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 (#26 of 492,114)
  • 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
20 news outlets
blogs
19 blogs
twitter
569 tweeters
weibo
1 weibo user
facebook
34 Facebook pages
googleplus
130 Google+ users
reddit
2 Redditors

Readers on

mendeley
188 Mendeley
Title
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources
Published in
arXiv, February 2015
Authors

Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang

Twitter Demographics

The data shown below were collected from the profiles of 569 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 4%
United States 6 3%
Germany 3 2%
Italy 3 2%
France 2 1%
Australia 2 1%
Norway 2 1%
Spain 2 1%
Japan 2 1%
Other 10 5%
Unknown 149 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 32%
Student > Master 39 21%
Researcher 21 11%
Other 15 8%
Student > Bachelor 13 7%
Other 39 21%
Readers by discipline Count As %
Computer Science 127 68%
Social Sciences 16 9%
Engineering 9 5%
Agricultural and Biological Sciences 6 3%
Psychology 4 2%
Other 26 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 913. 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 20 October 2017.
All research outputs
#2,470
of 8,653,333 outputs
Outputs from arXiv
#26
of 492,114 outputs
Outputs of similar age
#93
of 246,215 outputs
Outputs of similar age from arXiv
#1
of 22,028 outputs
Altmetric has tracked 8,653,333 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 492,114 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 246,215 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 22,028 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.