You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic mapping of the MHC transactivator CIITA using an integrated ChIP-seq and genetical genomics approach
|
|---|---|
| Published in |
Genome Biology, October 2014
|
| DOI | 10.1186/s13059-014-0494-z |
| Pubmed ID | |
| Authors |
Daniel Wong, Wanseon Lee, Peter Humburg, Seiko Makino, Evelyn Lau, Vivek Naranbhai, Benjamin P Fairfax, Kenneth Chan, Katharine Plant, Julian C Knight |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 28% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 4 | 7% |
| Other | 4 | 7% |
| Other | 6 | 11% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 33% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Medicine and Dentistry | 7 | 13% |
| Immunology and Microbiology | 5 | 9% |
| Computer Science | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 11 | 20% |
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 November 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#201,010
of 274,544 outputs
Outputs of similar age from Genome Biology
#117
of 119 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 1st percentile – i.e., 1% 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 274,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.