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Attention Score in Context
Title |
Roads and cities of 18th century France
|
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Published in |
Scientific Data, September 2015
|
DOI | 10.1038/sdata.2015.48 |
Pubmed ID | |
Authors |
Julien Perret, Maurizio Gribaudi, Marc Barthelemy |
Abstract |
The evolution of infrastructure networks such as roads and streets are of utmost importance to understand the evolution of urban systems. However, datasets describing these spatial objects are rare and sparse. The database presented here represents the road network at the french national level described in the historical map of Cassini in the 18th century. The digitization of this historical map is based on a collaborative methodology that we describe in detail. This dataset can be used for a variety of interdisciplinary studies, covering multiple spatial resolutions and ranging from history, geography, urban economics to network science. |
X Demographics
The data shown below were collected from the profiles of 63 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 | 8 | 13% |
United Kingdom | 8 | 13% |
France | 5 | 8% |
Canada | 3 | 5% |
Luxembourg | 2 | 3% |
Australia | 2 | 3% |
Germany | 2 | 3% |
Italy | 2 | 3% |
Hungary | 1 | 2% |
Other | 4 | 6% |
Unknown | 26 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 43 | 68% |
Scientists | 11 | 17% |
Science communicators (journalists, bloggers, editors) | 9 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 3% |
France | 1 | 3% |
Germany | 1 | 3% |
Luxembourg | 1 | 3% |
Unknown | 35 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 18% |
Student > Master | 6 | 15% |
Other | 4 | 10% |
Professor > Associate Professor | 4 | 10% |
Professor | 3 | 8% |
Other | 8 | 21% |
Unknown | 7 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 6 | 15% |
Engineering | 5 | 13% |
Computer Science | 4 | 10% |
Social Sciences | 4 | 10% |
Economics, Econometrics and Finance | 2 | 5% |
Other | 10 | 26% |
Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 71. 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
#582,797
of 24,787,209 outputs
Outputs from Scientific Data
#218
of 3,064 outputs
Outputs of similar age
#7,890
of 274,667 outputs
Outputs of similar age from Scientific Data
#5
of 21 outputs
Altmetric has tracked 24,787,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has done particularly well, scoring higher than 92% 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 274,667 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 97% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.