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Are Technology Transfers Skill Biased?

Overview of attention for article published in The Indian Journal of Labour Economics, July 2019
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1 X user

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mendeley
10 Mendeley
Title
Are Technology Transfers Skill Biased?
Published in
The Indian Journal of Labour Economics, July 2019
DOI 10.1007/s41027-019-00171-y
Authors

Swati Virmani

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Student > Ph. D. Student 1 10%
Professor 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 40%
Business, Management and Accounting 1 10%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 July 2019.
All research outputs
#16,291,311
of 23,999,200 outputs
Outputs from The Indian Journal of Labour Economics
#95
of 128 outputs
Outputs of similar age
#217,393
of 349,506 outputs
Outputs of similar age from The Indian Journal of Labour Economics
#5
of 6 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 128 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 349,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.