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High frequency of phenotypic deviations in Physcomitrella patens plants transformed with a gene-disruption library

Overview of attention for article published in BMC Plant Biology, July 2002
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Title
High frequency of phenotypic deviations in Physcomitrella patens plants transformed with a gene-disruption library
Published in
BMC Plant Biology, July 2002
DOI 10.1186/1471-2229-2-6
Pubmed ID
Authors

Tanja Egener, José Granado, Marie-Christine Guitton, Annette Hohe, Hauke Holtorf, Jan M Lucht, Stefan A Rensing, Katja Schlink, Julia Schulte, Gabriele Schween, Susanne Zimmermann, Elke Duwenig, Bodo Rak, Ralf Reski

Abstract

The moss Physcomitrella patens is an attractive model system for plant biology and functional genome analysis. It shares many biological features with higher plants but has the unique advantage of an efficient homologous recombination system for its nuclear DNA. This allows precise genetic manipulations and targeted knockouts to study gene function, an approach that due to the very low frequency of targeted recombination events is not routinely possible in any higher plant.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Czechia 1 <1%
Germany 1 <1%
Norway 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 25%
Student > Master 19 18%
Student > Ph. D. Student 16 15%
Student > Bachelor 8 8%
Professor > Associate Professor 8 8%
Other 16 15%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 53%
Biochemistry, Genetics and Molecular Biology 22 21%
Environmental Science 2 2%
Neuroscience 2 2%
Chemistry 2 2%
Other 8 8%
Unknown 13 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 July 2023.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from BMC Plant Biology
#713
of 3,588 outputs
Outputs of similar age
#16,566
of 47,597 outputs
Outputs of similar age from BMC Plant Biology
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,588 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 74% 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 47,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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