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Fungal plant cell wall-degrading enzyme database: a platform for comparative and evolutionary genomics in fungi and Oomycetes

Overview of attention for article published in BMC Genomics, October 2013
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1 tweeter
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1 Facebook page

Citations

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58 Dimensions

Readers on

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122 Mendeley
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Title
Fungal plant cell wall-degrading enzyme database: a platform for comparative and evolutionary genomics in fungi and Oomycetes
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-s5-s7
Pubmed ID
Authors

Jaeyoung Choi, Ki-Tae Kim, Jongbum Jeon, Yong-Hwan Lee

Abstract

Plant cell wall-degrading enzymes (PCWDEs) play significant roles throughout the fungal life including acquisition of nutrients and decomposition of plant cell walls. In addition, many of PCWDEs are also utilized by biofuel and pulp industries. In order to develop a comparative genomics platform focused in fungal PCWDEs and provide a resource for evolutionary studies, Fungal PCWDE Database (FPDB) is constructed (http://pcwde.riceblast.snu.ac.kr/).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Turkey 1 <1%
Nigeria 1 <1%
France 1 <1%
Unknown 118 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Researcher 26 21%
Student > Master 16 13%
Student > Bachelor 16 13%
Lecturer 6 5%
Other 14 11%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 57%
Biochemistry, Genetics and Molecular Biology 18 15%
Computer Science 4 3%
Chemistry 2 2%
Arts and Humanities 1 <1%
Other 4 3%
Unknown 23 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 October 2014.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from BMC Genomics
#8,158
of 10,628 outputs
Outputs of similar age
#156,906
of 210,725 outputs
Outputs of similar age from BMC Genomics
#91
of 146 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 210,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.