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Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in the United States

Overview of attention for article published in International Journal of Biometeorology, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
2 blogs
policy
2 policy sources
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2 X users
facebook
1 Facebook page

Citations

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60 Dimensions

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mendeley
67 Mendeley
Title
Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in the United States
Published in
International Journal of Biometeorology, June 2013
DOI 10.1007/s00484-013-0674-7
Pubmed ID
Authors

Yong Zhang, Leonard Bielory, Panos G. Georgopoulos

Abstract

Climatic change is expected to affect the spatiotemporal patterns of airborne allergenic pollen, which has been found to act synergistically with common air pollutants, such as ozone, to cause allergic airway disease (AAD). Observed airborne pollen data from six stations from 1994 to 2011 at Fargo (North Dakota), College Station (Texas), Omaha (Nebraska), Pleasanton (California), Cherry Hill and Newark (New Jersey) in the US were studied to examine climate change effects on trends of annual mean and peak value of daily concentrations, annual production, season start, and season length of Betula (birch) and Quercus (oak) pollen. The growing degree hour (GDH) model was used to establish a relationship between start/end dates and differential temperature sums using observed hourly temperatures from surrounding meteorology stations. Optimum GDH models were then combined with meteorological information from the Weather Research and Forecasting (WRF) model, and land use land coverage data from the Biogenic Emissions Land use Database, version 3.1 (BELD3.1), to simulate start dates and season lengths of birch and oak pollen for both past and future years across the contiguous US (CONUS). For most of the studied stations, comparison of mean pollen indices between the periods of 1994-2000 and 2001-2011 showed that birch and oak trees were observed to flower 1-2 weeks earlier; annual mean and peak value of daily pollen concentrations tended to increase by 13.6 %-248 %. The observed pollen season lengths varied for birch and for oak across the different monitoring stations. Optimum initial date, base temperature, and threshold GDH for start date was found to be 1 March, 8 °C, and 1,879 h, respectively, for birch; 1 March, 5 °C, and 4,760 h, respectively, for oak. Simulation results indicated that responses of birch and oak pollen seasons to climate change are expected to vary for different regions.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Latvia 1 1%
United States 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Master 10 15%
Student > Ph. D. Student 7 10%
Student > Bachelor 5 7%
Professor 4 6%
Other 10 15%
Unknown 14 21%
Readers by discipline Count As %
Environmental Science 16 24%
Agricultural and Biological Sciences 11 16%
Earth and Planetary Sciences 7 10%
Medicine and Dentistry 5 7%
Social Sciences 3 4%
Other 6 9%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 01 May 2019.
All research outputs
#1,562,615
of 22,712,476 outputs
Outputs from International Journal of Biometeorology
#118
of 1,289 outputs
Outputs of similar age
#14,176
of 196,836 outputs
Outputs of similar age from International Journal of Biometeorology
#3
of 19 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 90% 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 196,836 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 92% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.