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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptional enhancers in development and disease
|
|---|---|
| Published in |
Genome Biology, January 2012
|
| DOI | 10.1186/gb-2012-13-1-238 |
| Pubmed ID | |
| Authors |
Noboru Jo Sakabe, Daniel Savic, Marcelo A Nobrega |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| India | 2 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Argentina | 1 | <1% |
| Finland | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 245 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 29% |
| Researcher | 66 | 25% |
| Student > Bachelor | 27 | 10% |
| Student > Master | 23 | 9% |
| Professor | 17 | 6% |
| Other | 38 | 14% |
| Unknown | 17 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 137 | 52% |
| Biochemistry, Genetics and Molecular Biology | 67 | 25% |
| Medicine and Dentistry | 15 | 6% |
| Computer Science | 9 | 3% |
| Neuroscience | 4 | 2% |
| Other | 14 | 5% |
| Unknown | 19 | 7% |
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 30 April 2014.
All research outputs
#4,638,510
of 26,017,215 outputs
Outputs from Genome Biology
#2,738
of 4,513 outputs
Outputs of similar age
#36,999
of 257,891 outputs
Outputs of similar age from Genome Biology
#24
of 43 outputs
Altmetric has tracked 26,017,215 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 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 39th percentile – i.e., 39% 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 257,891 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 85% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.