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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving transcriptome construction in non-model organisms: integrating manual and automated gene definition in Emiliania huxleyi
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-148 |
| Pubmed ID | |
| Authors |
Ester Feldmesser, Shilo Rosenwasser, Assaf Vardi, Shifra Ben-Dor |
| Abstract |
The advent of Next Generation Sequencing technologies and corresponding bioinformatics tools allows the definition of transcriptomes in non-model organisms. Non-model organisms are of great ecological and biotechnological significance, and consequently the understanding of their unique metabolic pathways is essential. Several methods that integrate de novo assembly with genome-based assembly have been proposed. Yet, there are many open challenges in defining genes, particularly where genomes are not available or incomplete. Despite the large numbers of transcriptome assemblies that have been performed, quality control of the transcript building process, particularly on the protein level, is rarely performed if ever. To test and improve the quality of the automated transcriptome reconstruction, we used manually defined and curated genes, several of them experimentally validated. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 2 | 2% |
| Denmark | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Czechia | 1 | 1% |
| Sweden | 1 | 1% |
| Norway | 1 | 1% |
| Taiwan | 1 | 1% |
| Italy | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 79 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 30% |
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 12 | 13% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 61% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Environmental Science | 3 | 3% |
| Computer Science | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 7 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 02 March 2017.
All research outputs
#2,975,325
of 25,374,917 outputs
Outputs from BMC Genomics
#888
of 11,244 outputs
Outputs of similar age
#29,287
of 239,843 outputs
Outputs of similar age from BMC Genomics
#14
of 226 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 239,843 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.