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Attention Score in Context
Title |
Reevaluation of the evolutionary events within recA/RAD51 phylogeny
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Published in |
BMC Genomics, April 2013
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DOI | 10.1186/1471-2164-14-240 |
Pubmed ID | |
Authors |
Sree V Chintapalli, Gaurav Bhardwaj, Jagadish Babu, Loukia Hadjiyianni, Yoojin Hong, George K Todd, Casey A Boosalis, Zhenhai Zhang, Xiaofan Zhou, Hong Ma, Andriy Anishkin, Damian B van Rossum, Randen L Patterson |
Abstract |
The recA/RAD51 gene family encodes a diverse set of recombinase proteins that affect homologous recombination, DNA-repair, and genome stability. The recA gene family is expressed across all three domains of life - Eubacteria, Archaea, and Eukaryotes - and even in some viruses. To date, efforts to resolve the deep evolutionary origins of this ancient protein family have been hindered by the high sequence divergence between paralogous groups (i.e. ~30% average pairwise identity). |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
United Kingdom | 2 | 40% |
Denmark | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 40% |
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 19% |
Student > Master | 8 | 14% |
Researcher | 7 | 12% |
Student > Bachelor | 6 | 11% |
Professor | 6 | 11% |
Other | 3 | 5% |
Unknown | 16 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 33% |
Biochemistry, Genetics and Molecular Biology | 15 | 26% |
Chemical Engineering | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 5 | 9% |
Unknown | 15 | 26% |
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 12 April 2013.
All research outputs
#13,382,001
of 22,705,019 outputs
Outputs from BMC Genomics
#4,979
of 10,624 outputs
Outputs of similar age
#106,553
of 199,475 outputs
Outputs of similar age from BMC Genomics
#57
of 122 outputs
Altmetric has tracked 22,705,019 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 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. 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 199,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 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 50% of its contemporaries.