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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An integrated strategy for identification of both sharp and broad peaks from next-generation sequencing data
|
|---|---|
| Published in |
Genome Biology, July 2011
|
| DOI | 10.1186/gb-2011-12-7-120 |
| Pubmed ID | |
| Authors |
Weiqun Peng, Keji Zhao |
| Abstract |
A novel integrative approach has been developed by Lieb and colleagues for analyzing genome-wide datasets of different chromatin-binding factors and epigenetic states that exhibit both sharp and diffuse signals on the genome. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| United Kingdom | 1 | 20% |
| Belgium | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 9% |
| Sweden | 2 | 3% |
| Germany | 2 | 3% |
| United Kingdom | 1 | 2% |
| China | 1 | 2% |
| Argentina | 1 | 2% |
| Russia | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Unknown | 44 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 38% |
| Student > Ph. D. Student | 12 | 21% |
| Professor | 7 | 12% |
| Professor > Associate Professor | 5 | 9% |
| Other | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 69% |
| Computer Science | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Medicine and Dentistry | 2 | 3% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 August 2012.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from Genome Biology
#3,897
of 4,467 outputs
Outputs of similar age
#85,382
of 130,464 outputs
Outputs of similar age from Genome Biology
#36
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
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 12th percentile – i.e., 12% 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 130,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.