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Protein Molecular Data from Ancient (>1 million years old) Fossil Material: Pitfalls, Possibilities and Grand Challenges

Overview of attention for article published in Analytical Chemistry, July 2014
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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55 Mendeley
Title
Protein Molecular Data from Ancient (>1 million years old) Fossil Material: Pitfalls, Possibilities and Grand Challenges
Published in
Analytical Chemistry, July 2014
DOI 10.1021/ac500803w
Pubmed ID
Authors

Mary Higby Schweitzer, Elena R. Schroeter, Michael B. Goshe

Abstract

Advances in resolution and sensitivity of analytical techniques have provided novel applications, including the analyses of fossil material. However, the recovery of original proteinaceous components from very old fossil samples (defined as >1 million years (1 Ma) from previously named limits in the literature) is far from trivial. Here, we discuss the challenges to recovery of proteinaceous components from fossils, and the need for new sample preparation techniques, analytical methods, and bioinformatics to optimize and fully utilize the great potential of information locked in the fossil record. We present evidence for survival of original components across geological time, and discuss the potential benefits of recovery, analyses, and interpretation of fossil materials older than 1 Ma, both within and outside of the fields of evolutionary biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Italy 1 2%
South Africa 1 2%
Canada 1 2%
United States 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Student > Master 11 20%
Researcher 10 18%
Student > Bachelor 7 13%
Student > Doctoral Student 3 5%
Other 5 9%
Unknown 4 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Earth and Planetary Sciences 11 20%
Chemistry 11 20%
Agricultural and Biological Sciences 9 16%
Medicine and Dentistry 2 4%
Other 6 11%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 July 2014.
All research outputs
#14,832,116
of 24,862,067 outputs
Outputs from Analytical Chemistry
#19,031
of 27,844 outputs
Outputs of similar age
#116,286
of 233,144 outputs
Outputs of similar age from Analytical Chemistry
#156
of 401 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,844 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 30th percentile – i.e., 30% 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 233,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 401 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 59% of its contemporaries.