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The Physalis peruviana leaf transcriptome: assembly, annotation and gene model prediction

Overview of attention for article published in BMC Genomics, April 2012
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2 X users

Citations

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46 Dimensions

Readers on

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102 Mendeley
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1 CiteULike
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Title
The Physalis peruviana leaf transcriptome: assembly, annotation and gene model prediction
Published in
BMC Genomics, April 2012
DOI 10.1186/1471-2164-13-151
Pubmed ID
Authors

Gina A Garzón-Martínez, Z Iris Zhu, David Landsman, Luz S Barrero, Leonardo Mariño-Ramírez

Abstract

Physalis peruviana commonly known as Cape gooseberry is a member of the Solanaceae family that has an increasing popularity due to its nutritional and medicinal values. A broad range of genomic tools is available for other Solanaceae, including tomato and potato. However, limited genomic resources are currently available for Cape gooseberry.

X Demographics

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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Colombia 1 <1%
Germany 1 <1%
Slovakia 1 <1%
Sweden 1 <1%
Japan 1 <1%
Taiwan 1 <1%
Unknown 93 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 30%
Student > Master 13 13%
Student > Ph. D. Student 8 8%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 26 25%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 52%
Biochemistry, Genetics and Molecular Biology 10 10%
Engineering 5 5%
Unspecified 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 13 13%
Unknown 14 14%
Attention Score in Context

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 02 May 2012.
All research outputs
#15,243,120
of 22,664,644 outputs
Outputs from BMC Genomics
#6,660
of 10,615 outputs
Outputs of similar age
#104,267
of 163,315 outputs
Outputs of similar age from BMC Genomics
#41
of 71 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 163,315 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.