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X Demographics
Mendeley readers
Attention Score in Context
| 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 | |
| Authors |
Katy Börner, Olga Scrivner, Mike Gallant, Shutian Ma, Xiaozhong Liu, Keith Chewning, Lingfei Wu, James A Evans |
X Demographics
The data shown below were collected from the profiles of 103 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 26 | 25% |
| United Kingdom | 13 | 13% |
| Argentina | 7 | 7% |
| Mexico | 2 | 2% |
| Brazil | 2 | 2% |
| Spain | 2 | 2% |
| France | 2 | 2% |
| Germany | 2 | 2% |
| Austria | 1 | <1% |
| Other | 12 | 12% |
| Unknown | 34 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 75 | 73% |
| Scientists | 23 | 22% |
| Science communicators (journalists, bloggers, editors) | 5 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 295 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 13% |
| Student > Master | 28 | 9% |
| Researcher | 24 | 8% |
| Student > Doctoral Student | 22 | 7% |
| Student > Bachelor | 22 | 7% |
| Other | 66 | 22% |
| Unknown | 96 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 37 | 13% |
| Social Sciences | 33 | 11% |
| Computer Science | 22 | 7% |
| Economics, Econometrics and Finance | 18 | 6% |
| Engineering | 16 | 5% |
| Other | 59 | 20% |
| Unknown | 110 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 132. 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 22 March 2023.
All research outputs
#318,971
of 25,646,963 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#5,789
of 103,514 outputs
Outputs of similar age
#6,820
of 446,705 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#109
of 901 outputs
Altmetric has tracked 25,646,963 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 103,514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. 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 446,705 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.