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Mendeley readers
Attention Score in Context
| Title |
A short survey of computational analysis methods in analysing ChIP-seq data
|
|---|---|
| Published in |
Human Genomics, January 2011
|
| DOI | 10.1186/1479-7364-5-2-117 |
| Pubmed ID | |
| Authors |
Hyunmin Kim, Jihye Kim, Heather Selby, Dexiang Gao, Tiejun Tong, Tzu Lip Phang, Aik Choon Tan |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 3% |
| United States | 3 | 3% |
| United Kingdom | 2 | 2% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Austria | 1 | <1% |
| Spain | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 105 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 29% |
| Researcher | 32 | 27% |
| Student > Master | 12 | 10% |
| Professor > Associate Professor | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Other | 17 | 14% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 58% |
| Biochemistry, Genetics and Molecular Biology | 16 | 13% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 4 | 3% |
| Mathematics | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 13 | 11% |
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 05 December 2020.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Human Genomics
#211
of 564 outputs
Outputs of similar age
#57,799
of 190,483 outputs
Outputs of similar age from Human Genomics
#2
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 190,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.