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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasets
|
|---|---|
| Published in |
Genome Biology, February 2011
|
| DOI | 10.1186/gb-2011-12-2-r15 |
| Pubmed ID | |
| Authors |
Chao Cheng, Koon-Kiu Yan, Kevin Y Yip, Joel Rozowsky, Roger Alexander, Chong Shou, Mark Gerstein |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| Germany | 4 | 2% |
| France | 3 | 1% |
| United Kingdom | 2 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Taiwan | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 211 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 27% |
| Student > Ph. D. Student | 60 | 26% |
| Student > Master | 26 | 11% |
| Professor > Associate Professor | 16 | 7% |
| Student > Doctoral Student | 10 | 4% |
| Other | 33 | 14% |
| Unknown | 27 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 123 | 52% |
| Biochemistry, Genetics and Molecular Biology | 34 | 14% |
| Computer Science | 22 | 9% |
| Mathematics | 4 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Other | 18 | 8% |
| Unknown | 30 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 January 2013.
All research outputs
#8,261,140
of 25,371,288 outputs
Outputs from Genome Biology
#3,444
of 4,467 outputs
Outputs of similar age
#42,344
of 118,274 outputs
Outputs of similar age from Genome Biology
#19
of 30 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th 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 22nd percentile – i.e., 22% 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 118,274 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 63% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.