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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential motif enrichment analysis of paired ChIP-seq experiments
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-752 |
| Pubmed ID | |
| Authors |
Tom Lesluyes, James Johnson, Philip Machanick, Timothy L Bailey |
| Abstract |
Motif enrichment analysis of transcription factor ChIP-seq data can help identify transcription factors that cooperate or compete. Previously, little attention has been given to comparative motif enrichment analysis of pairs of ChIP-seq experiments, where the binding of the same transcription factor is assayed under different conditions. Such comparative analysis could potentially identify the distinct regulatory partners/competitors of the assayed transcription factor under different conditions or at different stages of development. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 20% |
| South Africa | 2 | 13% |
| France | 2 | 13% |
| India | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Netherlands | 1 | 1% |
| Sweden | 1 | 1% |
| France | 1 | 1% |
| Unknown | 70 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 25% |
| Student > Ph. D. Student | 16 | 21% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 8 | 10% |
| Professor > Associate Professor | 5 | 6% |
| Other | 9 | 12% |
| Unknown | 11 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 35% |
| Biochemistry, Genetics and Molecular Biology | 22 | 29% |
| Computer Science | 6 | 8% |
| Chemistry | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 12 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 June 2018.
All research outputs
#4,377,674
of 23,770,218 outputs
Outputs from BMC Genomics
#1,765
of 10,807 outputs
Outputs of similar age
#43,801
of 238,851 outputs
Outputs of similar age from BMC Genomics
#27
of 200 outputs
Altmetric has tracked 23,770,218 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,807 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 238,851 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 81% of its contemporaries.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.