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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovering Transcription Factor Binding Sites in Highly Repetitive Regions of Genomes with Multi-Read Analysis of ChIP-Seq Data
|
|---|---|
| Published in |
PLoS Computational Biology, July 2011
|
| DOI | 10.1371/journal.pcbi.1002111 |
| Pubmed ID | |
| Authors |
Dongjun Chung, Pei Fen Kuan, Bo Li, Rajendran Sanalkumar, Kun Liang, Emery H. Bresnick, Colin Dewey, Sündüz Keleş |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bolivia, Plurinational State of | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 8% |
| Germany | 6 | 2% |
| United Kingdom | 5 | 2% |
| Italy | 2 | <1% |
| Austria | 2 | <1% |
| China | 2 | <1% |
| Finland | 1 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 233 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 86 | 31% |
| Student > Ph. D. Student | 73 | 26% |
| Professor > Associate Professor | 19 | 7% |
| Student > Master | 19 | 7% |
| Professor | 18 | 6% |
| Other | 48 | 17% |
| Unknown | 15 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 163 | 59% |
| Biochemistry, Genetics and Molecular Biology | 49 | 18% |
| Computer Science | 21 | 8% |
| Medicine and Dentistry | 7 | 3% |
| Mathematics | 5 | 2% |
| Other | 14 | 5% |
| Unknown | 19 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 March 2024.
All research outputs
#5,266,281
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#4,007
of 9,035 outputs
Outputs of similar age
#27,083
of 130,769 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 67 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 55% 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 130,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.