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MycoDB, a global database of plant response to mycorrhizal fungi

Overview of attention for article published in Scientific Data, May 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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
57 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
217 Mendeley
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Title
MycoDB, a global database of plant response to mycorrhizal fungi
Published in
Scientific Data, May 2016
DOI 10.1038/sdata.2016.28
Pubmed ID
Authors

V. Bala Chaudhary, Megan A. Rúa, Anita Antoninka, James D. Bever, Jeffery Cannon, Ashley Craig, Jessica Duchicela, Alicia Frame, Monique Gardes, Catherine Gehring, Michelle Ha, Miranda Hart, Jacob Hopkins, Baoming Ji, Nancy Collins Johnson, Wittaya Kaonongbua, Justine Karst, Roger T. Koide, Louis J. Lamit, James Meadow, Brook G. Milligan, John C. Moore, Thomas H. Pendergast IV, Bridget Piculell, Blake Ramsby, Suzanne Simard, Shubha Shrestha, James Umbanhowar, Wolfgang Viechtbauer, Lawrence Walters, Gail W. T. Wilson, Peter C. Zee, Jason D. Hoeksema

Abstract

Plants form belowground associations with mycorrhizal fungi in one of the most common symbioses on Earth. However, few large-scale generalizations exist for the structure and function of mycorrhizal symbioses, as the nature of this relationship varies from mutualistic to parasitic and is largely context-dependent. We announce the public release of MycoDB, a database of 4,010 studies (from 438 unique publications) to aid in multi-factor meta-analyses elucidating the ecological and evolutionary context in which mycorrhizal fungi alter plant productivity. Over 10 years with nearly 80 collaborators, we compiled data on the response of plant biomass to mycorrhizal fungal inoculation, including meta-analysis metrics and 24 additional explanatory variables that describe the biotic and abiotic context of each study. We also include phylogenetic trees for all plants and fungi in the database. To our knowledge, MycoDB is the largest ecological meta-analysis database. We aim to share these data to highlight significant gaps in mycorrhizal research and encourage synthesis to explore the ecological and evolutionary generalities that govern mycorrhizal functioning in ecosystems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Ireland 2 <1%
Portugal 1 <1%
Switzerland 1 <1%
Norway 1 <1%
Taiwan 1 <1%
Brazil 1 <1%
Unknown 208 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 24%
Student > Ph. D. Student 40 18%
Student > Master 26 12%
Student > Bachelor 16 7%
Student > Doctoral Student 15 7%
Other 33 15%
Unknown 35 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 45%
Environmental Science 33 15%
Biochemistry, Genetics and Molecular Biology 10 5%
Medicine and Dentistry 6 3%
Computer Science 3 1%
Other 18 8%
Unknown 49 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 10 May 2023.
All research outputs
#705,957
of 24,974,461 outputs
Outputs from Scientific Data
#272
of 3,133 outputs
Outputs of similar age
#12,956
of 311,418 outputs
Outputs of similar age from Scientific Data
#7
of 26 outputs
Altmetric has tracked 24,974,461 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 3,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done particularly well, scoring higher than 91% 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 311,418 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 95% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.