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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A combination of LongSAGE with Solexa sequencing is well suited to explore the depth and the complexity of transcriptome
|
|---|---|
| Published in |
BMC Genomics, September 2008
|
| DOI | 10.1186/1471-2164-9-418 |
| Pubmed ID | |
| Authors |
Lucie Hanriot, Céline Keime, Nadine Gay, Claudine Faure, Carole Dossat, Patrick Wincker, Céline Scoté-Blachon, Christelle Peyron, Olivier Gandrillon |
| Abstract |
"Open" transcriptome analysis methods allow to study gene expression without a priori knowledge of the transcript sequences. As of now, SAGE (Serial Analysis of Gene Expression), LongSAGE and MPSS (Massively Parallel Signature Sequencing) are the mostly used methods for "open" transcriptome analysis. Both LongSAGE and MPSS rely on the isolation of 21 pb tag sequences from each transcript. In contrast to LongSAGE, the high throughput sequencing method used in MPSS enables the rapid sequencing of very large libraries containing several millions of tags, allowing deep transcriptome analysis. However, a bias in the complexity of the transcriptome representation obtained by MPSS was recently uncovered. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| United Kingdom | 3 | 3% |
| France | 2 | 2% |
| Germany | 2 | 2% |
| Brazil | 2 | 2% |
| India | 1 | 1% |
| Japan | 1 | 1% |
| Norway | 1 | 1% |
| Unknown | 78 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 39% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Master | 10 | 11% |
| Professor > Associate Professor | 9 | 9% |
| Professor | 7 | 7% |
| Other | 12 | 13% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 74% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Computer Science | 3 | 3% |
| Engineering | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 7 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 February 2019.
All research outputs
#6,375,523
of 22,655,397 outputs
Outputs from BMC Genomics
#2,862
of 10,607 outputs
Outputs of similar age
#23,814
of 74,465 outputs
Outputs of similar age from BMC Genomics
#10
of 32 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,607 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 71% 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 74,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.