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Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis: a case study in LTE technology

Overview of attention for article published in Scientometrics, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 X users

Citations

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59 Dimensions

Readers on

mendeley
85 Mendeley
Title
Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis: a case study in LTE technology
Published in
Scientometrics, June 2014
DOI 10.1007/s11192-014-1342-3
Authors

Bo Wang, Shengbo Liu, Kun Ding, Zeyuan Liu, Jing Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Spain 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Student > Master 14 16%
Student > Doctoral Student 11 13%
Professor 5 6%
Librarian 4 5%
Other 15 18%
Unknown 19 22%
Readers by discipline Count As %
Computer Science 18 21%
Business, Management and Accounting 12 14%
Social Sciences 9 11%
Engineering 7 8%
Psychology 2 2%
Other 9 11%
Unknown 28 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 November 2015.
All research outputs
#6,860,711
of 22,833,393 outputs
Outputs from Scientometrics
#1,201
of 2,682 outputs
Outputs of similar age
#65,823
of 228,160 outputs
Outputs of similar age from Scientometrics
#16
of 35 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% 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 228,160 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 71% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.