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Mendeley readers
Attention Score in Context
| Title |
A comparative genome-wide study of ncRNAs in trypanosomatids
|
|---|---|
| Published in |
BMC Genomics, November 2010
|
| DOI | 10.1186/1471-2164-11-615 |
| Pubmed ID | |
| Authors |
Tirza Doniger, Rodolfo Katz, Chaim Wachtel, Shulamit Michaeli, Ron Unger |
| Abstract |
Recent studies have provided extensive evidence for multitudes of non-coding RNA (ncRNA) transcripts in a wide range of eukaryotic genomes. ncRNAs are emerging as key players in multiple layers of cellular regulation. With the availability of many whole genome sequences, comparative analysis has become a powerful tool to identify ncRNA molecules. In this study, we performed a systematic genome-wide in silico screen to search for novel small ncRNAs in the genome of Trypanosoma brucei using techniques of comparative genomics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 4% |
| Netherlands | 1 | 2% |
| Colombia | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Taiwan | 1 | 2% |
| Romania | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 46 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 27% |
| Researcher | 12 | 22% |
| Professor > Associate Professor | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 6 | 11% |
| Other | 5 | 9% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 60% |
| Biochemistry, Genetics and Molecular Biology | 12 | 22% |
| Computer Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 2014.
All research outputs
#20,235,415
of 22,761,738 outputs
Outputs from BMC Genomics
#9,264
of 10,638 outputs
Outputs of similar age
#95,065
of 100,464 outputs
Outputs of similar age from BMC Genomics
#62
of 65 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 100,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.