↓ Skip to main content

Diversity of coronavirus in bats from Eastern Thailand

Overview of attention for article published in Virology Journal, April 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 2,914)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

1 news outlet
1 blog
53 tweeters
2 Facebook pages
2 Wikipedia pages
1 video uploader


59 Dimensions

Readers on

138 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Diversity of coronavirus in bats from Eastern Thailand
Published in
Virology Journal, April 2015
DOI 10.1186/s12985-015-0289-1
Pubmed ID

Supaporn Wacharapluesadee, Prateep Duengkae, Apaporn Rodpan, Thongchai Kaewpom, Patarapol Maneeorn, Budsabong Kanchanasaka, Sangchai Yingsakmongkon, Nuntaporn Sittidetboripat, Chaiyaporn Chareesaen, Nathawat Khlangsap, Apisit Pidthong, Kumron Leadprathom, Siriporn Ghai, Jonathan H Epstein, Peter Daszak, Kevin J Olival, Patrick J Blair, Michael V Callahan, Thiravat Hemachudha


Bats are reservoirs for a diverse range of coronaviruses (CoVs), including those closely related to human pathogens such as Severe Acute Respiratory Syndrome (SARS) CoV and Middle East Respiratory Syndrome CoV. There are approximately 139 bat species reported to date in Thailand, of which two are endemic species. Due to the zoonotic potential of CoVs, standardized surveillance efforts to characterize viral diversity in wildlife are imperative. A total of 626 bats from 19 different bat species were individually sampled from 5 provinces in Eastern Thailand between 2008 and 2013 (84 fecal and 542 rectal swabs). Samples collected (either fresh feces or rectal swabs) were placed directly into RNA stabilization reagent, transported on ice within 24 hours and preserved at -80°C until further analysis. CoV RNA was detected in 47 specimens (7.6%), from 13 different bat species, using broadly reactive consensus PCR primers targeting the RNA-Dependent RNA Polymerase gene designed to detect all CoVs. Thirty seven alphacoronaviruses, nine lineage D betacoronaviruses, and one lineage B betacoronavirus (SARS-CoV related) were identified. Six new bat CoV reservoirs were identified in our study, namely Cynopterus sphinx, Taphozous melanopogon, Hipposideros lekaguli, Rhinolophus shameli, Scotophilus heathii and Megaderma lyra. CoVs from the same genetic lineage were found in different bat species roosting in similar or different locations. These data suggest that bat CoV lineages are not strictly concordant with their hosts. Our phylogenetic data indicates high diversity and a complex ecology of CoVs in bats sampled from specific areas in eastern regions of Thailand. Further characterization of additional CoV genes may be useful to better describe the CoV divergence.

Twitter Demographics

The data shown below were collected from the profiles of 53 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Spain 1 <1%
France 1 <1%
Unknown 133 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 24%
Student > Bachelor 21 15%
Student > Master 19 14%
Student > Ph. D. Student 15 11%
Student > Doctoral Student 6 4%
Other 16 12%
Unknown 28 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 22%
Biochemistry, Genetics and Molecular Biology 18 13%
Medicine and Dentistry 16 12%
Veterinary Science and Veterinary Medicine 10 7%
Environmental Science 7 5%
Other 21 15%
Unknown 35 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 28 May 2022.
All research outputs
of 21,429,365 outputs
Outputs from Virology Journal
of 2,914 outputs
Outputs of similar age
of 243,652 outputs
Outputs of similar age from Virology Journal
of 1 outputs
Altmetric has tracked 21,429,365 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 2,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done particularly well, scoring higher than 98% 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 243,652 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them