| Title |
Urban magnetism through the lens of geo-tagged photography
|
|---|---|
| Published in |
EPJ Data Science, May 2015
|
| DOI | 10.1140/epjds/s13688-015-0043-3 |
| Authors |
Silvia Paldino, Iva Bojic, Stanislav Sobolevsky, Carlo Ratti, Marta C González |
X Demographics
The data shown below were collected from the profiles of 32 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 | 7 | 22% |
| Germany | 2 | 6% |
| Spain | 2 | 6% |
| Italy | 2 | 6% |
| Mexico | 1 | 3% |
| Ireland | 1 | 3% |
| Chile | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| United Kingdom | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 66% |
| Scientists | 8 | 25% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | 1% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 159 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 25% |
| Student > Master | 29 | 17% |
| Researcher | 22 | 13% |
| Student > Doctoral Student | 11 | 7% |
| Lecturer | 7 | 4% |
| Other | 27 | 16% |
| Unknown | 29 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 36 | 22% |
| Computer Science | 27 | 16% |
| Engineering | 18 | 11% |
| Business, Management and Accounting | 13 | 8% |
| Environmental Science | 7 | 4% |
| Other | 31 | 19% |
| Unknown | 35 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 15 October 2015.
All research outputs
#1,124,930
of 25,193,883 outputs
Outputs from EPJ Data Science
#94
of 432 outputs
Outputs of similar age
#13,561
of 271,729 outputs
Outputs of similar age from EPJ Data Science
#3
of 7 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has done well, scoring higher than 78% 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 271,729 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 95% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.