| Title |
Understanding spatial organizations of chromosomes via statistical analysis of Hi‐C data
|
|---|---|
| Published in |
Quantitative Biology, June 2013
|
| DOI | 10.1007/s40484-013-0016-0 |
| Pubmed ID | |
| Authors |
Ming Hu, Ke Deng, Zhaohui Qin, Jun S. Liu |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 2 | 2% |
| Spain | 2 | 2% |
| Sweden | 1 | <1% |
| Lithuania | 1 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Russia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 102 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 33% |
| Researcher | 29 | 25% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 9 | 8% |
| Professor > Associate Professor | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 39% |
| Biochemistry, Genetics and Molecular Biology | 28 | 25% |
| Computer Science | 13 | 11% |
| Medicine and Dentistry | 5 | 4% |
| Physics and Astronomy | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 10 | 9% |
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 01 September 2013.
All research outputs
#16,889,408
of 24,833,004 outputs
Outputs from Quantitative Biology
#57
of 89 outputs
Outputs of similar age
#124,438
of 198,777 outputs
Outputs of similar age from Quantitative Biology
#1
of 1 outputs
Altmetric has tracked 24,833,004 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 89 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 26th percentile – i.e., 26% 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 198,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them