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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Model-based Analysis of ChIP-Seq (MACS)
|
|---|---|
| Published in |
Genome Biology, September 2008
|
| DOI | 10.1186/gb-2008-9-9-r137 |
| Pubmed ID | |
| Authors |
Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S Johnson, Bradley E Bernstein, Chad Nusbaum, Richard M Myers, Myles Brown, Wei Li, X Shirley Liu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6,099 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 105 | 2% |
| United Kingdom | 36 | <1% |
| Germany | 24 | <1% |
| France | 13 | <1% |
| Italy | 11 | <1% |
| Spain | 9 | <1% |
| China | 9 | <1% |
| Netherlands | 8 | <1% |
| Brazil | 8 | <1% |
| Other | 60 | <1% |
| Unknown | 5816 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1728 | 28% |
| Researcher | 1162 | 19% |
| Student > Master | 593 | 10% |
| Student > Bachelor | 483 | 8% |
| Student > Doctoral Student | 313 | 5% |
| Other | 745 | 12% |
| Unknown | 1075 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2043 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1859 | 30% |
| Medicine and Dentistry | 251 | 4% |
| Computer Science | 199 | 3% |
| Neuroscience | 124 | 2% |
| Other | 425 | 7% |
| Unknown | 1198 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 12 July 2024.
All research outputs
#646,251
of 26,315,660 outputs
Outputs from Genome Biology
#388
of 4,592 outputs
Outputs of similar age
#1,286
of 101,066 outputs
Outputs of similar age from Genome Biology
#1
of 31 outputs
Altmetric has tracked 26,315,660 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 4,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 91% 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 101,066 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 98% of its contemporaries.
We're also able to compare this research output to 31 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 96% of its contemporaries.