| Title |
Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research
|
|---|---|
| Published in |
Energy Research & Social Science, November 2020
|
| DOI | 10.1016/j.erss.2020.101704 |
| Authors |
Ramit Debnath, Sarah Darby, Ronita Bardhan, Kamiar Mohaddes, Minna Sunikka-Blank |
Twitter Demographics
The data shown below were collected from the profiles of 46 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 18 | 39% |
| United States | 5 | 11% |
| Switzerland | 2 | 4% |
| India | 2 | 4% |
| Brazil | 1 | 2% |
| France | 1 | 2% |
| Ukraine | 1 | 2% |
| South Africa | 1 | 2% |
| Germany | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 14 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 74% |
| Scientists | 10 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 11% |
| Student > Master | 14 | 11% |
| Student > Doctoral Student | 13 | 10% |
| Student > Ph. D. Student | 11 | 9% |
| Student > Bachelor | 8 | 6% |
| Other | 17 | 14% |
| Unknown | 48 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 10% |
| Arts and Humanities | 9 | 7% |
| Computer Science | 7 | 6% |
| Business, Management and Accounting | 6 | 5% |
| Energy | 6 | 5% |
| Other | 34 | 27% |
| Unknown | 51 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 05 November 2021.
All research outputs
#1,280,494
of 23,199,478 outputs
Outputs from Energy Research & Social Science
#258
of 2,275 outputs
Outputs of similar age
#35,563
of 420,572 outputs
Outputs of similar age from Energy Research & Social Science
#38
of 209 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done well, scoring higher than 88% 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 420,572 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 91% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.