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‘Technology Mining’ bibliometrics analysis: applying network analysis and cluster analysis

Overview of attention for article published in Scientometrics, August 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
99 Mendeley
Title
‘Technology Mining’ bibliometrics analysis: applying network analysis and cluster analysis
Published in
Scientometrics, August 2015
DOI 10.1007/s11192-015-1685-4
Authors

Farshad Madani

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Colombia 1 1%
Korea, Republic of 1 1%
Unknown 96 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 13 13%
Librarian 10 10%
Student > Doctoral Student 9 9%
Student > Master 9 9%
Other 15 15%
Unknown 21 21%
Readers by discipline Count As %
Computer Science 20 20%
Business, Management and Accounting 17 17%
Social Sciences 14 14%
Engineering 8 8%
Economics, Econometrics and Finance 2 2%
Other 13 13%
Unknown 25 25%
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 16 May 2018.
All research outputs
#6,961,201
of 22,826,360 outputs
Outputs from Scientometrics
#1,217
of 2,681 outputs
Outputs of similar age
#82,115
of 266,654 outputs
Outputs of similar age from Scientometrics
#17
of 52 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,681 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 53% 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 266,654 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 68% of its contemporaries.
We're also able to compare this research output to 52 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 67% of its contemporaries.