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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the gonad transcriptome of two extreme male pigs with RNA-seq
|
|---|---|
| Published in |
BMC Genomics, November 2011
|
| DOI | 10.1186/1471-2164-12-552 |
| Pubmed ID | |
| Authors |
Anna Esteve-Codina, Robert Kofler, Nicola Palmieri, Giovanni Bussotti, Cedric Notredame, Miguel Pérez-Enciso |
| Abstract |
Although RNA-seq greatly advances our understanding of complex transcriptome landscapes, such as those found in mammals, complete RNA-seq studies in livestock and in particular in the pig are still lacking. Here, we used high-throughput RNA sequencing to gain insight into the characterization of the poly-A RNA fraction expressed in pig male gonads. An expression analysis comparing different mapping approaches and detection of allele specific expression is also discussed in this study. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Switzerland | 1 | <1% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Austria | 1 | <1% |
| India | 1 | <1% |
| Denmark | 1 | <1% |
| Romania | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 282 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 22% |
| Researcher | 52 | 18% |
| Student > Master | 37 | 13% |
| Student > Bachelor | 19 | 6% |
| Unspecified | 11 | 4% |
| Other | 39 | 13% |
| Unknown | 72 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 107 | 36% |
| Biochemistry, Genetics and Molecular Biology | 50 | 17% |
| Medicine and Dentistry | 12 | 4% |
| Unspecified | 11 | 4% |
| Computer Science | 7 | 2% |
| Other | 29 | 10% |
| Unknown | 79 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 February 2015.
All research outputs
#6,243,005
of 22,656,971 outputs
Outputs from BMC Genomics
#2,720
of 10,607 outputs
Outputs of similar age
#38,834
of 142,921 outputs
Outputs of similar age from BMC Genomics
#26
of 129 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd 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 73% 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 142,921 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 72% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.