↓ Skip to main content

Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources

Overview of attention for article published in arXiv, February 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 444,349)
  • 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
19 news outlets
blogs
19 blogs
twitter
575 tweeters
weibo
1 weibo user
facebook
34 Facebook pages
googleplus
122 Google+ users
reddit
2 Redditors

Readers on

mendeley
172 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 575 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 172 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 5 3%
France 3 2%
Germany 2 1%
Italy 2 1%
Spain 2 1%
Australia 1 <1%
Poland 1 <1%
Luxembourg 1 <1%
Other 7 4%
Unknown 141 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 33%
Student > Master 35 20%
Researcher 20 12%
Other 13 8%
Student > Bachelor 12 7%
Other 35 20%
Readers by discipline Count As %
Computer Science 110 64%
Social Sciences 18 10%
Engineering 9 5%
Agricultural and Biological Sciences 6 3%
Psychology 4 2%
Other 25 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 909. 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 22 June 2017.
All research outputs
#2,023
of 7,943,431 outputs
Outputs from arXiv
#24
of 444,349 outputs
Outputs of similar age
#87
of 241,326 outputs
Outputs of similar age from arXiv
#1
of 22,050 outputs
Altmetric has tracked 7,943,431 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 444,349 research outputs from this source. They receive a mean Attention Score of 2.7. 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 241,326 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 22,050 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.