The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization
|
|---|---|
| Published in |
Bioinformatics, March 2015
|
| DOI | 10.1093/bioinformatics/btv145 |
| Pubmed ID | |
| Authors |
Guangchuang Yu, Li-Gen Wang, Qing-Yu He |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 13% |
| United Kingdom | 3 | 10% |
| China | 2 | 6% |
| New Zealand | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 19 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 55% |
| Scientists | 14 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Spain | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 1096 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 318 | 29% |
| Researcher | 131 | 12% |
| Student > Master | 120 | 11% |
| Student > Bachelor | 91 | 8% |
| Student > Doctoral Student | 58 | 5% |
| Other | 131 | 12% |
| Unknown | 255 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 396 | 36% |
| Agricultural and Biological Sciences | 213 | 19% |
| Medicine and Dentistry | 43 | 4% |
| Neuroscience | 33 | 3% |
| Computer Science | 30 | 3% |
| Other | 97 | 9% |
| Unknown | 292 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 30 May 2024.
All research outputs
#722,491
of 26,173,059 outputs
Outputs from Bioinformatics
#137
of 13,015 outputs
Outputs of similar age
#8,555
of 274,676 outputs
Outputs of similar age from Bioinformatics
#4
of 188 outputs
Altmetric has tracked 26,173,059 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,015 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 98% 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 274,676 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.