Title |
Wikipedia Clickstream
|
---|---|
Published on |
figshare, April 2016
|
DOI | 10.6084/m9.figshare.1305770 |
Authors |
Ellery Wulczyn , Dario Taraborelli, Ellery Wulczyn, Ellery, Wulczyn, Dario, Taraborelli, Wulczyn, Ellery, Taraborelli, Dario |
Abstract |
This project contains data sets containing counts of (referer, resource) pairs extracted from the request logs of Wikipedia. A referer is an HTTP header field that identifies the address of the webpage that linked to the resource being requested. The data shows how people get to a Wikipedia article and what links they click on. In other words, it gives a weighted network of articles, where each edge weight corresponds to how often people navigate from one page to another. For more information and documentation, see the link in the references section below. |
X Demographics
The data shown below were collected from the profiles of 109 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 | 23 | 21% |
United Kingdom | 10 | 9% |
Germany | 5 | 5% |
Italy | 5 | 5% |
Spain | 4 | 4% |
France | 3 | 3% |
Netherlands | 2 | 2% |
Denmark | 2 | 2% |
Japan | 2 | 2% |
Other | 17 | 16% |
Unknown | 36 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 78 | 72% |
Scientists | 26 | 24% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 42% |
Student > Master | 5 | 42% |
Student > Postgraduate | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 67% |
Business, Management and Accounting | 1 | 8% |
Mathematics | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Design | 1 | 8% |
Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 17 January 2018.
All research outputs
#525,846
of 25,761,363 outputs
Outputs from figshare
#142
of 25,445 outputs
Outputs of similar age
#9,516
of 315,653 outputs
Outputs of similar age from figshare
#2
of 563 outputs
Altmetric has tracked 25,761,363 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 25,445 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 315,653 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 96% of its contemporaries.
We're also able to compare this research output to 563 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.