↓ Skip to main content

A particle-filtering approach for on-line fault diagnosis and failure prognosis

Overview of attention for article published in Transactions of the Institute of Measurement and Control, June 2009
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#18 of 304)
  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
207 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A particle-filtering approach for on-line fault diagnosis and failure prognosis
Published in
Transactions of the Institute of Measurement and Control, June 2009
DOI 10.1177/0142331208092026
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 <1%
Brazil 2 <1%
United States 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Chile 1 <1%
Canada 1 <1%
Unknown 198 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 74 36%
Student > Master 31 15%
Researcher 23 11%
Student > Doctoral Student 10 5%
Student > Bachelor 9 4%
Other 23 11%
Unknown 37 18%
Readers by discipline
Readers by discipline Count As %
Engineering 129 62%
Computer Science 13 6%
Energy 3 1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Business, Management and Accounting 1 <1%
Other 10 5%
Unknown 50 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 August 2026.
All research outputs
#7,582,403
of 34,365,356 outputs
Outputs from Transactions of the Institute of Measurement and Control
#18
of 304 outputs
Outputs of similar age
#38,017
of 176,477 outputs
Outputs of similar age from Transactions of the Institute of Measurement and Control
#1
of 5 outputs
Altmetric has tracked 34,365,356 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 80% 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 176,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 5 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