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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Many LINE1 elements contribute to the transcriptome of human somatic cells
|
|---|---|
| Published in |
Genome Biology, September 2009
|
| DOI | 10.1186/gb-2009-10-9-r100 |
| Pubmed ID | |
| Authors |
Sanjida H Rangwala, Lili Zhang, Haig H Kazazian |
| Abstract |
While LINE1 (L1) retroelements comprise nearly 20% of the human genome, the majority are thought to have been rendered transcriptionally inactive, due to either mutation or epigenetic suppression. How many L1 elements 'escape' these forms of repression and contribute to the transcriptome of human somatic cells? We have cloned out expressed sequence tags corresponding to the 5' and 3' flanks of L1 elements in order to characterize the population of elements that are being actively transcribed. We also examined expression of a select number of elements in different individuals. |
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 % |
|---|---|---|
| France | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 3 | 2% |
| France | 2 | 1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 130 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 28% |
| Student > Ph. D. Student | 34 | 24% |
| Student > Bachelor | 14 | 10% |
| Student > Master | 13 | 9% |
| Professor | 9 | 6% |
| Other | 16 | 12% |
| Unknown | 14 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 47% |
| Biochemistry, Genetics and Molecular Biology | 42 | 30% |
| Medicine and Dentistry | 8 | 6% |
| Neuroscience | 3 | 2% |
| Immunology and Microbiology | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 13 | 9% |
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 25 January 2023.
All research outputs
#15,193,749
of 25,800,372 outputs
Outputs from Genome Biology
#3,954
of 4,519 outputs
Outputs of similar age
#87,751
of 107,392 outputs
Outputs of similar age from Genome Biology
#30
of 34 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,519 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 11th percentile – i.e., 11% 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 107,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.