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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting expression: the complementary power of histone modification and transcription factor binding data
|
|---|---|
| Published in |
Epigenetics & Chromatin, November 2014
|
| DOI | 10.1186/1756-8935-7-36 |
| Pubmed ID | |
| Authors |
David M Budden, Daniel G Hurley, Joseph Cursons, John F Markham, Melissa J Davis, Edmund J Crampin |
| Abstract |
Transcription factors (TFs) and histone modifications (HMs) play critical roles in gene expression by regulating mRNA transcription. Modelling frameworks have been developed to integrate high-throughput omics data, with the aim of elucidating the regulatory logic that results from the interactions of DNA, TFs and HMs. These models have yielded an unexpected and poorly understood result: that TFs and HMs are statistically redundant in explaining mRNA transcript abundance at a genome-wide level. |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 3 | 33% |
| France | 2 | 22% |
| United States | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Italy | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Researcher | 11 | 22% |
| Student > Master | 7 | 14% |
| Professor > Associate Professor | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Other | 3 | 6% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 53% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Computer Science | 5 | 10% |
| Mathematics | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 December 2014.
All research outputs
#7,345,736
of 23,881,329 outputs
Outputs from Epigenetics & Chromatin
#293
of 581 outputs
Outputs of similar age
#100,144
of 367,486 outputs
Outputs of similar age from Epigenetics & Chromatin
#8
of 14 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 367,486 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.