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Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, December 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
7 news outlets
policy
1 policy source
twitter
106 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
257 Mendeley
Summary News Policy documents Twitter Facebook Google+ Dimensions citations
Title
Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy
Published in
Proceedings of the National Academy of Sciences of the United States of America, December 2018
DOI 10.1073/pnas.1804247115
Pubmed ID
30530667
Authors

Katy Börner, Olga Scrivner, Mike Gallant, Shutian Ma, Xiaozhong Liu, Keith Chewning, Lingfei Wu, James A. Evans

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 106 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 14%
Student > Master 27 11%
Researcher 26 10%
Student > Bachelor 23 9%
Student > Doctoral Student 19 7%
Other 54 21%
Unknown 73 28%
Readers by discipline Count As %
Business, Management and Accounting 30 12%
Social Sciences 30 12%
Computer Science 19 7%
Economics, Econometrics and Finance 16 6%
Engineering 16 6%
Other 61 24%
Unknown 85 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 04 November 2022.
All research outputs
#287,640
of 23,755,107 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#5,459
of 99,908 outputs
Outputs of similar age
#6,726
of 440,449 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#110
of 901 outputs
Altmetric has tracked 23,755,107 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,908 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. This one has done particularly well, scoring higher than 94% 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 440,449 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 98% of its contemporaries.
We're also able to compare this research output to 901 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.

This page is hosted by Altmetric on behalf of Proceedings of the National Academy of Sciences the United States of America.