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Mendeley readers
Attention Score in Context
Title |
Efficient assembly of de novohuman artificial chromosomes from large genomic loci
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Published in |
BMC Biotechnology, July 2005
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DOI | 10.1186/1472-6750-5-21 |
Pubmed ID | |
Authors |
Joydeep Basu, George Compitello, Gregory Stromberg, Huntington F Willard, Gil Van Bokkelen |
Abstract |
Human artificial chromosomes (HACs) are potentially useful vectors for gene transfer studies and for functional annotation of the genome because of their suitability for cloning, manipulating and transferring large segments of the genome. However, development of HACs for the transfer of large genomic loci into mammalian cells has been limited by difficulties in manipulating high-molecular weight DNA, as well as by the low overall frequencies of de novo HAC formation. Indeed, to date, only a small number of large (>100 kb) genomic loci have been reported to be successfully packaged into de novo HACs. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Unknown | 28 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 34% |
Student > Ph. D. Student | 6 | 21% |
Student > Doctoral Student | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Student > Master | 2 | 7% |
Other | 3 | 10% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 41% |
Biochemistry, Genetics and Molecular Biology | 7 | 24% |
Unspecified | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Computer Science | 1 | 3% |
Other | 1 | 3% |
Unknown | 6 | 21% |
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 15 May 2021.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Biotechnology
#427
of 935 outputs
Outputs of similar age
#20,180
of 56,810 outputs
Outputs of similar age from BMC Biotechnology
#2
of 5 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 37th percentile – i.e., 37% 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 56,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.