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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The canary in the city: indicator groups as predictors of local rent increases
|
|---|---|
| Published in |
EPJ Data Science, July 2018
|
| DOI | 10.1140/epjds/s13688-018-0151-y |
| Authors |
Aike A. Steentoft, Ate Poorthuis, Bu-Sung Lee, Markus Schläpfer |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 13% |
| United States | 2 | 13% |
| Canada | 1 | 6% |
| Morocco | 1 | 6% |
| Norway | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 50% |
| Members of the public | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 38% |
| Student > Master | 4 | 11% |
| Lecturer | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 30% |
| Mathematics | 3 | 8% |
| Computer Science | 3 | 8% |
| Environmental Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 11 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 23 July 2018.
All research outputs
#3,597,298
of 24,387,992 outputs
Outputs from EPJ Data Science
#248
of 403 outputs
Outputs of similar age
#69,669
of 331,846 outputs
Outputs of similar age from EPJ Data Science
#14
of 14 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.8. This one is in the 38th percentile – i.e., 38% 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 331,846 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.