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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Making enhancers from spare parts of the genome
|
|---|---|
| Published in |
Genome Biology, December 2011
|
| DOI | 10.1186/gb-2011-12-12-138 |
| Pubmed ID | |
| Authors |
David Fredman, Xianjun Dong, Boris Lenhard |
| Abstract |
New studies show that novel long-range enhancers of developmental genes can emerge by exaptation of protein-coding sequences with no previous regulatory function. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 11% |
| United States | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 29 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 36% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Professor | 4 | 11% |
| Other | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 64% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Medicine and Dentistry | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 August 2012.
All research outputs
#15,740,207
of 25,374,647 outputs
Outputs from Genome Biology
#3,967
of 4,467 outputs
Outputs of similar age
#161,396
of 249,552 outputs
Outputs of similar age from Genome Biology
#35
of 40 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 10th percentile – i.e., 10% 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 249,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.