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Protein crystal screening and characterization for serial femtosecond nanocrystallography

Overview of attention for article published in Scientific Reports, May 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Protein crystal screening and characterization for serial femtosecond nanocrystallography
Published in
Scientific Reports, May 2016
DOI 10.1038/srep25345
Pubmed ID
Authors

Connie Darmanin, Jamie Strachan, Christopher G. Adda, Thomas Ve, Bostjan Kobe, Brian Abbey

Abstract

The recent development of X-ray free electron lasers (XFELs) has spurred the development of serial femtosecond nanocrystallography (SFX) which, for the first time, is enabling structure retrieval from sub-micron protein crystals. Although there are already a growing number of structures published using SFX, the technology is still very new and presents a number of unique challenges as well as opportunities for structural biologists. One of the biggest barriers to the success of SFX experiments is the preparation and selection of suitable protein crystal samples. Here we outline a protocol for preparing and screening for suitable XFEL targets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 8 15%
Student > Master 7 13%
Student > Doctoral Student 4 8%
Other 3 6%
Other 9 17%
Unknown 10 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 26%
Agricultural and Biological Sciences 9 17%
Chemistry 8 15%
Physics and Astronomy 3 6%
Engineering 2 4%
Other 7 13%
Unknown 10 19%
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 22 July 2016.
All research outputs
#13,507,549
of 23,302,246 outputs
Outputs from Scientific Reports
#60,107
of 125,943 outputs
Outputs of similar age
#143,560
of 299,834 outputs
Outputs of similar age from Scientific Reports
#1,527
of 3,193 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 50% 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 299,834 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 3,193 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.