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Mendeley readers
Attention Score in Context
| Title |
A new measurement of sequence conservation
|
|---|---|
| Published in |
BMC Genomics, December 2009
|
| DOI | 10.1186/1471-2164-10-623 |
| Pubmed ID | |
| Authors |
Xiaohui Cai, Haiyan Hu, Xiaoman Li |
| Abstract |
Understanding sequence conservation is important for the study of sequence evolution and for the identification of functional regions of the genome. Current studies often measure sequence conservation based on every position in contiguous regions. Therefore, a large number of functional regions that contain conserved segments separated by relatively long divergent segments are ignored. Our goal in this paper is to define a new measurement of sequence conservation such that both contiguously conserved regions and discontiguously conserved regions can be detected based on this new measurement. Here and in the following, conserved regions are those regions that share similarity higher than a pre-specified similarity threshold with their homologous regions in other species. That is, conserved regions are good candidates of functional regions and may not be always functional. Moreover, conserved regions may contain long and divergent segments. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Kenya | 1 | 2% |
| Brazil | 1 | 2% |
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| Sweden | 1 | 2% |
| Greece | 1 | 2% |
| China | 1 | 2% |
| Unknown | 39 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Bachelor | 5 | 10% |
| Professor > Associate Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 65% |
| Computer Science | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Chemical Engineering | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 14% |
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 30 March 2012.
All research outputs
#12,853,669
of 22,664,267 outputs
Outputs from BMC Genomics
#4,549
of 10,614 outputs
Outputs of similar age
#128,248
of 163,777 outputs
Outputs of similar age from BMC Genomics
#85
of 117 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 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 55% 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 163,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.