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Two Pfam protein families characterized by a crystal structure of protein lpg2210 from Legionella pneumophila

Overview of attention for article published in BMC Bioinformatics, September 2013
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2 X users

Citations

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22 Mendeley
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7 CiteULike
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Title
Two Pfam protein families characterized by a crystal structure of protein lpg2210 from Legionella pneumophila
Published in
BMC Bioinformatics, September 2013
DOI 10.1186/1471-2105-14-265
Pubmed ID
Authors

Penelope Coggill, Ruth Y Eberhardt, Robert D Finn, Yuanyuan Chang, Lukasz Jaroszewski, Adam Godzik, Debanu Das, Qingping Xu, Herbert L Axelrod, L Aravind, Alexey G Murzin, Alex Bateman

Abstract

Every genome contains a large number of uncharacterized proteins that may encode entirely novel biological systems. Many of these uncharacterized proteins fall into related sequence families. By applying sequence and structural analysis we hope to provide insight into novel biology.

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

Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 32%
Professor > Associate Professor 5 23%
Other 2 9%
Student > Master 2 9%
Student > Ph. D. Student 1 5%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 45%
Biochemistry, Genetics and Molecular Biology 4 18%
Medicine and Dentistry 2 9%
Computer Science 1 5%
Philosophy 1 5%
Other 0 0%
Unknown 4 18%
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 08 September 2013.
All research outputs
#15,278,165
of 22,719,618 outputs
Outputs from BMC Bioinformatics
#5,365
of 7,260 outputs
Outputs of similar age
#121,008
of 196,897 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 92 outputs
Altmetric has tracked 22,719,618 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 7,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 196,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.