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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparative multi-omics systems analysis of Escherichia coli strains B and K-12
|
|---|---|
| Published in |
Genome Biology, May 2012
|
| DOI | 10.1186/gb-2012-13-5-r37 |
| Pubmed ID | |
| Authors |
Sung Ho Yoon, Mee-Jung Han, Haeyoung Jeong, Choong Hoon Lee, Xiao-Xia Xia, Dae-Hee Lee, Ji Hoon Shim, Sang Yup Lee, Tae Kwang Oh, Jihyun F Kim |
| Abstract |
Elucidation of a genotype-phenotype relationship is critical to understand an organism at the whole-system level. Here, we demonstrate that comparative analyses of multi-omics data combined with a computational modeling approach provide a framework for elucidating the phenotypic characteristics of organisms whose genomes are sequenced. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Denmark | 3 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Lithuania | 2 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Chile | 1 | <1% |
| Belgium | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 336 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 91 | 26% |
| Researcher | 75 | 21% |
| Student > Master | 36 | 10% |
| Student > Bachelor | 34 | 10% |
| Student > Doctoral Student | 13 | 4% |
| Other | 44 | 12% |
| Unknown | 63 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 35% |
| Biochemistry, Genetics and Molecular Biology | 90 | 25% |
| Engineering | 24 | 7% |
| Chemical Engineering | 8 | 2% |
| Chemistry | 7 | 2% |
| Other | 35 | 10% |
| Unknown | 67 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 June 2018.
All research outputs
#6,929,769
of 25,373,627 outputs
Outputs from Genome Biology
#3,196
of 4,467 outputs
Outputs of similar age
#46,688
of 178,354 outputs
Outputs of similar age from Genome Biology
#26
of 42 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% 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 178,354 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 73% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.