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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reveal cell type-specific regulatory elements and their characterized histone code classes via a hidden Markov model
|
|---|---|
| Published in |
BMC Genomics, December 2018
|
| DOI | 10.1186/s12864-018-5274-9 |
| Pubmed ID | |
| Authors |
Can Wang, Shihua Zhang |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Researcher | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Agricultural and Biological Sciences | 1 | 8% |
| Computer Science | 1 | 8% |
| Social Sciences | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
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 06 January 2019.
All research outputs
#15,555,964
of 23,120,280 outputs
Outputs from BMC Genomics
#6,721
of 10,708 outputs
Outputs of similar age
#264,990
of 437,292 outputs
Outputs of similar age from BMC Genomics
#134
of 243 outputs
Altmetric has tracked 23,120,280 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 10,708 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 437,292 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.