| Title |
In silico discovery of human natural antisense transcripts
|
|---|---|
| Published in |
BMC Bioinformatics, January 2006
|
| DOI | 10.1186/1471-2105-7-18 |
| Pubmed ID | |
| Authors |
Yuan-Yuan Li, Lei Qin, Zong-Ming Guo, Lei Liu, Hao Xu, Pei Hao, Jiong Su, Yixiang Shi, Wei-Zhong He, Yi-Xue Li |
| Abstract |
Several high-throughput searches for potential natural antisense transcripts (NATs) have been performed recently, but most of the reports were focused on cis type. A thorough in silico analysis of human transcripts will help expand our knowledge of NATs. |
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 % |
|---|---|---|
| Netherlands | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| China | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Ph. D. Student | 9 | 21% |
| Professor > Associate Professor | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Other | 7 | 17% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 81% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 1 | 2% |
| Neuroscience | 1 | 2% |
| Unknown | 2 | 5% |
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 19 April 2008.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#40,247
of 154,931 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 45 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 154,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.