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Mendeley readers
Attention Score in Context
| Title |
ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-237 |
| Pubmed ID | |
| Authors |
Lihua J Zhu, Claude Gazin, Nathan D Lawson, Hervé Pagès, Simon M Lin, David S Lapointe, Michael R Green |
Mendeley readers
The data shown below were compiled from readership statistics for 672 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 2% |
| United Kingdom | 7 | 1% |
| Germany | 4 | <1% |
| China | 3 | <1% |
| Italy | 3 | <1% |
| Japan | 3 | <1% |
| France | 2 | <1% |
| Denmark | 2 | <1% |
| Belgium | 2 | <1% |
| Other | 9 | 1% |
| Unknown | 621 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 162 | 24% |
| Student > Ph. D. Student | 159 | 24% |
| Student > Master | 71 | 11% |
| Student > Bachelor | 48 | 7% |
| Professor > Associate Professor | 29 | 4% |
| Other | 98 | 15% |
| Unknown | 105 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 251 | 37% |
| Biochemistry, Genetics and Molecular Biology | 193 | 29% |
| Medicine and Dentistry | 27 | 4% |
| Computer Science | 23 | 3% |
| Neuroscience | 18 | 3% |
| Other | 38 | 6% |
| Unknown | 122 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 January 2023.
All research outputs
#2,027,203
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#431
of 7,793 outputs
Outputs of similar age
#7,037
of 108,425 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 70 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 108,425 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 93% of its contemporaries.
We're also able to compare this research output to 70 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.