Article metrics for:
Running in highly cushioned shoes increases leg stiffness and amplifies impact loading
Last updated: Thu, 5 Dec 2019 22:33:17 GMT
Total citations
-
186k
Article Accesses
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2
Web of Science
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5
CrossRef
Online attention
Altmetric score (what's this?)
- Tweeted by 600
- Blogged by 3
- On 23 Facebook pages
- Picked up by 5 news outlets
- 6 Reddit
- 125 readers on Mendeley
This Altmetric score means that the article is:
- in the 99th percentile (ranked 1,038th) of the 367,397 tracked articles of a similar age in all journals
- in the 99th percentile (ranked 65th) of the 13,294 tracked articles of a similar age in Scientific Reports
Mentions in news, blogs & Google+
News articles (5)
- Suomalainen tutkijaryhmä teki yllättävän havainnon juoksukengistä – paksupohjainen ja vaimentava kenkä saattaa vain lisätä rasitusvammojen riskiä - Tiede Helsingin Sanomat
- News story from Daily Mail on Tuesday 11 December 2018 Daily Mail
- News story from Daily Mail on Tuesday 11 December 2018 Daily Mail
- Thin or Thick Sole: What’s the Best Type of Shoe for Running? Healthline
- Are your super-cushioned running shoes doing more harm than good? Sign of the Times
Scientific blogs (3)
- I don’t get this… Running Research Junkie
- Cushioned shoes aren't good for your feet Big Think
- Odpružené bežecké tenisky vás neochránia, skôr naopak. Mýtom je aj škodlivosť asfaltu Denník N
Twitter demographics
Country | Tweets | % of Tweets |
---|---|---|
United States | 90 | 15.00% |
Spain | 40 | 6.67% |
United Kingdom | 38 | 6.33% |
Canada | 18 | 3.00% |
France | 14 | 2.33% |
Japan | 13 | 2.17% |
Australia | 13 | 2.17% |
Germany | 11 | 1.83% |
South Africa | 10 | 1.67% |
Netherlands | 10 | 1.67% |
Russia | 9 | 1.50% |
Finland | 8 | 1.33% |
Ireland | 7 | 1.17% |
India | 6 | 1.00% |
Mexico | 6 | 1.00% |
Poland | 6 | 1.00% |
Italy | 5 | 0.83% |
Sweden | 4 | 0.67% |
Argentina | 4 | 0.67% |
Switzerland | 4 | 0.67% |
Belgium | 4 | 0.67% |
Venezuela | 3 | 0.50% |
Chile | 2 | 0.33% |
Brazil | 2 | 0.33% |
Ukraine | 2 | 0.33% |
New Zealand | 2 | 0.33% |
Georgia | 1 | 0.17% |
Papua New Guinea | 1 | 0.17% |
Macedonia | 1 | 0.17% |
Austria | 1 | 0.17% |
Iceland | 1 | 0.17% |
Malaysia | 1 | 0.17% |
Guatemala | 1 | 0.17% |
Zambia | 1 | 0.17% |
Uruguay | 1 | 0.17% |
Monaco | 1 | 0.17% |
Jersey | 1 | 0.17% |
Luxembourg | 1 | 0.17% |
Greece | 1 | 0.17% |
Indonesia | 1 | 0.17% |
Ecuador | 1 | 0.17% |
South Korea | 1 | 0.17% |
Panama | 1 | 0.17% |
Denmark | 1 | 0.17% |
No location data | 251 | 41.83% |
Explanation of terms and methodology
Sources
Web of Science, CrossRef and Altmetric
Citations
Single number count for article citations from each service's database may vary by service. The citations counts are reliant on the availability of the individual APIs from Web of Science and CrossRef. These counts are updated daily once they become available. Once a citation count is available, the list of articles citing this one is accessible by clicking on the circle for that citation source.
News, blogs and Google+ posts
The number of times an article has been cited by individual mainstream news sources, blog post, or member of Google+ along with a link to the original article or post. News articles, blog posts and Google+ posts do not always link to articles in a way that can be picked up by aggregators used by Altmetric, so the listed links are not necessarily a reflection of the entire scope of media, blog or Google+ interest. Further, the list of blogs and news sources covered is manually curated by Altmetric and thus is subject to their discretion for inclusion as a scientific blog or media source. The news, blog, and Google+ posts are provided by Altmetric and are updated hourly.
Altmetric score
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric score. The score is calculated based on two main sources of online attention: social media and mainstream news media. Altmetric also tracks usage in online reference managers such as Mendeley and CiteULike, but these do not contribute to the score. Older articles will typically score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for articles of a "similar age" (published within 6 weeks of either side of the publication date of this article).
For a more detailed description of Altmetric, the Altmetric score, and sources used, please see Altmetric's information page.
Twitter demographics
Provides the number of tweets broken down by country of origin for the Twitter account. The geographic breakdown for the twitter sources is provided by Altmetric and is updated hourly.