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Mendeley readers
Attention Score in Context
| Title |
Implications of human genome structural heterogeneity: functionally related genes tend to reside in organizationally similar genomic regions
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-252 |
| Pubmed ID | |
| Authors |
Arnon Paz, Svetlana Frenkel, Sagi Snir, Valery Kirzhner, Abraham B Korol |
| Abstract |
In an earlier study, we hypothesized that genomic segments with different sequence organization patterns (OPs) might display functional specificity despite their similar GC content. Here we tested this hypothesis by dividing the human genome into 100 kb segments, classifying these segments into five compositional groups according to GC content, and then characterizing each segment within the five groups by oligonucleotide counting (k-mer analysis; also referred to as compositional spectrum analysis, or CSA), to examine the distribution of sequence OPs in the segments. We performed the CSA on the entire DNA, i.e., its coding and non-coding parts the latter being much more abundant in the genome than the former. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 4% |
| United States | 1 | 4% |
| Turkey | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 20 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 33% |
| Student > Ph. D. Student | 6 | 25% |
| Student > Bachelor | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Postgraduate | 2 | 8% |
| Other | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 42% |
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Computer Science | 3 | 13% |
| Medicine and Dentistry | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 1 | 4% |
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 19 November 2014.
All research outputs
#20,243,777
of 22,771,140 outputs
Outputs from BMC Genomics
#9,266
of 10,641 outputs
Outputs of similar age
#193,411
of 226,195 outputs
Outputs of similar age from BMC Genomics
#132
of 157 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 226,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.