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X Demographics
Mendeley readers
Attention Score in Context
| Title |
jMOSAiCS: joint analysis of multiple ChIP-seq datasets
|
|---|---|
| Published in |
Genome Biology, April 2013
|
| DOI | 10.1186/gb-2013-14-4-r38 |
| Pubmed ID | |
| Authors |
Xin Zeng, Rajendran Sanalkumar, Emery H Bresnick, Hongda Li, Qiang Chang, Sündüz Keleş |
| Abstract |
The ChIP-seq technique enables genome-wide mapping of in vivo protein-DNA interactions and chromatin states. Current analytical approaches for ChIP-seq analysis are largely geared towards single-sample investigations, and have limited applicability in comparative settings that aim to identify combinatorial patterns of enrichment across multiple datasets. We describe a novel probabilistic method, jMOSAiCS, for jointly analyzing multiple ChIP-seq datasets. We demonstrate its usefulness with a wide range of data-driven computational experiments and with a case study of histone modifications on GATA1-occupied segments during erythroid differentiation. jMOSAiCS is open source software and can be downloaded from Bioconductor 1. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| United States | 3 | 25% |
| France | 1 | 8% |
| Montenegro | 1 | 8% |
| Germany | 1 | 8% |
| Japan | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 75% |
| Members of the public | 2 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| France | 2 | 2% |
| United Kingdom | 2 | 2% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 110 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 28% |
| Student > Ph. D. Student | 34 | 27% |
| Student > Master | 14 | 11% |
| Professor > Associate Professor | 10 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 55% |
| Biochemistry, Genetics and Molecular Biology | 16 | 13% |
| Computer Science | 16 | 13% |
| Mathematics | 7 | 6% |
| Immunology and Microbiology | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 9 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 November 2013.
All research outputs
#6,354,466
of 25,736,439 outputs
Outputs from Genome Biology
#3,037
of 4,509 outputs
Outputs of similar age
#49,291
of 205,072 outputs
Outputs of similar age from Genome Biology
#38
of 49 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 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 32nd percentile – i.e., 32% 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 205,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.