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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
  • 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
21 news outlets
blogs
19 blogs
twitter
477 X users
weibo
1 weibo user
facebook
34 Facebook pages
googleplus
130 Google+ users
reddit
2 Redditors

Readers on

mendeley
17 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 477 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 35%
United Kingdom 5 29%
Norway 2 12%
Italy 2 12%
France 1 6%
Switzerland 1 6%
Vietnam 1 6%
Hungary 1 6%
Germany 1 6%
Other 7 41%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 459%
Student > Master 51 300%
Researcher 31 182%
Other 24 141%
Student > Bachelor 17 100%
Other 49 288%
Readers by discipline Count As %
Computer Science 166 976%
Social Sciences 20 118%
Engineering 13 76%
Physics and Astronomy 7 41%
Agricultural and Biological Sciences 7 41%
Other 31 182%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 827. 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 06 March 2024.
All research outputs
#22,700
of 25,754,670 outputs
Outputs from arXiv
#211
of 942,260 outputs
Outputs of similar age
#183
of 369,202 outputs
Outputs of similar age from arXiv
#1
of 10,488 outputs
Altmetric has tracked 25,754,670 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 942,260 research outputs from this source. They receive a mean Attention Score of 4.3. 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 369,202 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 10,488 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.