You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Cell-type specificity of ChIP-predicted transcription factor binding sites
|
---|---|
Published in |
BMC Genomics, August 2012
|
DOI | 10.1186/1471-2164-13-372 |
Pubmed ID | |
Authors |
Tony Håndstad, Morten Rye, Rok Močnik, Finn Drabløs, Pål Sætrom |
Abstract |
Context-dependent transcription factor (TF) binding is one reason for differences in gene expression patterns between different cellular states. Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) identifies genome-wide TF binding sites for one particular context-the cells used in the experiment. But can such ChIP-seq data predict TF binding in other cellular contexts and is it possible to distinguish context-dependent from ubiquitous TF binding? |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
United States | 1 | 2% |
Germany | 1 | 2% |
Italy | 1 | 2% |
Unknown | 48 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 32% |
Student > Ph. D. Student | 16 | 30% |
Professor | 5 | 9% |
Student > Postgraduate | 4 | 8% |
Student > Master | 3 | 6% |
Other | 4 | 8% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 55% |
Biochemistry, Genetics and Molecular Biology | 12 | 23% |
Medicine and Dentistry | 3 | 6% |
Computer Science | 1 | 2% |
Chemistry | 1 | 2% |
Other | 0 | 0% |
Unknown | 7 | 13% |
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 03 August 2012.
All research outputs
#15,248,503
of 22,673,450 outputs
Outputs from BMC Genomics
#6,658
of 10,614 outputs
Outputs of similar age
#104,539
of 164,731 outputs
Outputs of similar age from BMC Genomics
#75
of 119 outputs
Altmetric has tracked 22,673,450 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 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 164,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.