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Direct observations of ice seasonality reveal changes in climate over the past 320–570 years

Overview of attention for article published in Scientific Reports, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
20 news outlets
blogs
9 blogs
twitter
249 tweeters
facebook
8 Facebook pages
wikipedia
7 Wikipedia pages
googleplus
4 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
151 Mendeley
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Title
Direct observations of ice seasonality reveal changes in climate over the past 320–570 years
Published in
Scientific Reports, April 2016
DOI 10.1038/srep25061
Pubmed ID
Authors

Sapna Sharma, John J. Magnuson, Ryan D. Batt, Luke A. Winslow, Johanna Korhonen, Yasuyuki Aono

Abstract

Lake and river ice seasonality (dates of ice freeze and breakup) responds sensitively to climatic change and variability. We analyzed climate-related changes using direct human observations of ice freeze dates (1443-2014) for Lake Suwa, Japan, and of ice breakup dates (1693-2013) for Torne River, Finland. We found a rich array of changes in ice seasonality of two inland waters from geographically distant regions: namely a shift towards later ice formation for Suwa and earlier spring melt for Torne, increasing frequencies of years with warm extremes, changing inter-annual variability, waning of dominant inter-decadal quasi-periodic dynamics, and stronger correlations of ice seasonality with atmospheric CO2 concentration and air temperature after the start of the Industrial Revolution. Although local factors, including human population growth, land use change, and water management influence Suwa and Torne, the general patterns of ice seasonality are similar for both systems, suggesting that global processes including climate change and variability are driving the long-term changes in ice seasonality.

Twitter Demographics

The data shown below were collected from the profiles of 249 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
Belgium 1 <1%
Canada 1 <1%
Japan 1 <1%
Estonia 1 <1%
Unknown 143 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Researcher 23 15%
Student > Master 22 15%
Student > Bachelor 17 11%
Other 10 7%
Other 25 17%
Unknown 18 12%
Readers by discipline Count As %
Environmental Science 38 25%
Agricultural and Biological Sciences 32 21%
Earth and Planetary Sciences 25 17%
Chemistry 7 5%
Engineering 4 3%
Other 24 16%
Unknown 21 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 385. 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 12 December 2022.
All research outputs
#66,937
of 23,043,346 outputs
Outputs from Scientific Reports
#895
of 124,488 outputs
Outputs of similar age
#1,497
of 299,460 outputs
Outputs of similar age from Scientific Reports
#19
of 3,152 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124,488 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. 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 299,460 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 99% of its contemporaries.
We're also able to compare this research output to 3,152 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.