Title |
Classification of Westminster Parliamentary constituencies using e-petition data
|
---|---|
Published in |
EPJ Data Science, August 2017
|
DOI | 10.1140/epjds/s13688-017-0113-9 |
Authors |
Stephen Clark, Nik Lomax, Michelle A Morris |
X Demographics
The data shown below were collected from the profiles of 42 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 Kingdom | 12 | 29% |
Spain | 3 | 7% |
United States | 2 | 5% |
France | 1 | 2% |
Russia | 1 | 2% |
Germany | 1 | 2% |
Colombia | 1 | 2% |
Ireland | 1 | 2% |
South Africa | 1 | 2% |
Other | 0 | 0% |
Unknown | 19 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 67% |
Scientists | 13 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 15% |
Lecturer | 2 | 10% |
Researcher | 2 | 10% |
Student > Bachelor | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 10% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 5 | 25% |
Computer Science | 2 | 10% |
Mathematics | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Other | 3 | 15% |
Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 28 July 2020.
All research outputs
#963,290
of 24,483,002 outputs
Outputs from EPJ Data Science
#83
of 407 outputs
Outputs of similar age
#20,231
of 321,931 outputs
Outputs of similar age from EPJ Data Science
#9
of 11 outputs
Altmetric has tracked 24,483,002 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.6. This one has done well, scoring higher than 79% 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 321,931 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 93% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.