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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel phenotypic dissimilarity method for image-based high-throughput screens
|
|---|---|
| Published in |
BMC Bioinformatics, November 2013
|
| DOI | 10.1186/1471-2105-14-336 |
| Pubmed ID | |
| Authors |
Xian Zhang, Michael Boutros |
| Abstract |
Discovering functional relationships of genes through cell-based phenotyping has become an important approach in functional genomics. High-throughput imaging offers the ability to quantitatively assess complex phenotypes after perturbation by RNA interference (RNAi). Such image-based high-throughput RNAi screening studies have facilitated the discovery of novel components of gene networks and their interactions. Images generated by automated microscopy are typically analyzed by extracting quantitative features of individual cells, resulting in large multidimensional data sets. Robust and sensitive methods to interpret these data sets and to derive biologically relevant information in a high-throughput and unbiased manner remain to be developed. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 33% |
| France | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 56 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 33% |
| Student > Ph. D. Student | 13 | 21% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 5 | 8% |
| Professor | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 41% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Computer Science | 7 | 11% |
| Engineering | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 11 | 17% |
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 10 March 2014.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#5,477
of 7,400 outputs
Outputs of similar age
#193,004
of 305,835 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 104 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 17th percentile – i.e., 17% 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 305,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.