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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TE-array—a high throughput tool to study transposon transcription
|
|---|---|
| Published in |
BMC Genomics, December 2013
|
| DOI | 10.1186/1471-2164-14-869 |
| Pubmed ID | |
| Authors |
Veena P Gnanakkan, Andrew E Jaffe, Lixin Dai, Jie Fu, Sarah J Wheelan, Hyam I Levitsky, Jef D Boeke, Kathleen H Burns |
| Abstract |
Although transposable element (TE) derived DNA accounts for more than half of mammalian genomes and initiates a significant proportion of RNA transcripts, high throughput methods are rarely leveraged specifically to detect expression from interspersed repeats. |
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 % |
|---|---|---|
| Japan | 1 | 20% |
| France | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 33% |
| Student > Ph. D. Student | 11 | 26% |
| Professor | 7 | 17% |
| Student > Master | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 60% |
| Biochemistry, Genetics and Molecular Biology | 12 | 29% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 11 March 2014.
All research outputs
#13,165,814
of 22,736,112 outputs
Outputs from BMC Genomics
#4,747
of 10,631 outputs
Outputs of similar age
#162,993
of 306,776 outputs
Outputs of similar age from BMC Genomics
#193
of 448 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,631 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 306,776 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 448 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 55% of its contemporaries.