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Mendeley readers
Attention Score in Context
| Title |
Parallel deep transcriptome and proteome analysis of zebrafish larvae
|
|---|---|
| Published in |
BMC Research Notes, October 2013
|
| DOI | 10.1186/1756-0500-6-428 |
| Pubmed ID | |
| Authors |
Magnus Palmblad, Christiaan V Henkel, Ron P Dirks, Annemarie H Meijer, André M Deelder, Herman P Spaink |
| Abstract |
Sensitivity and throughput of transcriptomic and proteomic technologies have advanced tremendously in recent years. With the use of deep sequencing of RNA samples (RNA-seq) and mass spectrometry technology for protein identification and quantitation, it is now feasible to compare gene and protein expression on a massive scale and for any organism for which genomic data is available. Although these technologies are currently applied to many research questions in various model systems ranging from cell cultures to the entire organism level, there are few comparative studies of these technologies in the same system, let alone on the same samples. Here we present a comparison between gene and protein expression in embryos of zebrafish, which is an upcoming model in disease studies. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Chile | 1 | 1% |
| Netherlands | 1 | 1% |
| Slovenia | 1 | 1% |
| France | 1 | 1% |
| Unknown | 64 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 16 | 23% |
| Student > Master | 7 | 10% |
| Professor > Associate Professor | 6 | 9% |
| Student > Bachelor | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 40% |
| Biochemistry, Genetics and Molecular Biology | 14 | 20% |
| Medicine and Dentistry | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 12 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 October 2013.
All research outputs
#5,720,977
of 22,727,570 outputs
Outputs from BMC Research Notes
#838
of 4,259 outputs
Outputs of similar age
#51,486
of 211,997 outputs
Outputs of similar age from BMC Research Notes
#11
of 66 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 80% 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 211,997 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 75% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.