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City-scale distribution and dispersal routes of mycobiome in residences

Overview of attention for article published in Microbiome, October 2017
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

1 blog
12 tweeters
2 Facebook pages


16 Dimensions

Readers on

57 Mendeley
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City-scale distribution and dispersal routes of mycobiome in residences
Published in
Microbiome, October 2017
DOI 10.1186/s40168-017-0346-7
Pubmed ID

Xinzhao Tong, Marcus H. Y. Leung, David Wilkins, Patrick K. H. Lee


Pathogenic and allergenic bacteria and fungi within the indoors can bring detrimental health effects on the occupants. We previously studied the bacterial communities found in households located throughout Hong Kong as well as the skin surfaces of the occupants. As a complementary study, here, we investigated the fungal communities (mycobiome) in the same residences and occupants and identified factors that are important in shaping their diversity, composition, distribution, and dispersal patterns. We observed that common skin and environmental fungal taxa dominated air, surface, and skin samples. Individual and touch frequency strongly and respectively shaped the fungal community structure on occupant skin and residential surfaces. Cross-domain analysis revealed positive correlations between bacterial and fungal community diversity and composition, especially for skin samples. SourceTracker prediction suggested that some fungi can be transferred bidirectionally between surfaces and skin sites, but bacteria showed a stronger dispersal potential. In addition, we detected a modest but significant association between indoor airborne bacterial composition and geographic distance on a city-wide scale, a pattern not observed for fungi. However, the distance-decay effects were more pronounced at shorter local scale for both communities, and airflow might play a prominent role in driving the spatial variation of the indoor airborne mycobiome. Our study suggests that occupants exert a weaker influence on surface fungal communities compared to bacterial communities, and local environmental factors, including air currents, appear to be stronger determinants of indoor airborne mycobiome than ventilation strategy, human occupancy, and room type.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 28%
Student > Ph. D. Student 14 25%
Professor > Associate Professor 4 7%
Other 3 5%
Student > Bachelor 3 5%
Other 7 12%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 21%
Environmental Science 7 12%
Engineering 5 9%
Biochemistry, Genetics and Molecular Biology 5 9%
Immunology and Microbiology 3 5%
Other 6 11%
Unknown 19 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 29 May 2018.
All research outputs
of 15,627,409 outputs
Outputs from Microbiome
of 895 outputs
Outputs of similar age
of 280,146 outputs
Outputs of similar age from Microbiome
of 14 outputs
Altmetric has tracked 15,627,409 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 895 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 280,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.