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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparative analysis of neural transcriptomes and functional implication of unannotated intronic expression
|
|---|---|
| Published in |
BMC Genomics, October 2011
|
| DOI | 10.1186/1471-2164-12-494 |
| Pubmed ID | |
| Authors |
Yazhou Sun, Yaqiong Wang, Yi Hu, Gong Chen, Hong Ma |
| Abstract |
The transcriptome and its regulation bridge the genome and the phenome. Recent RNA-seq studies unveiled complex transcriptomes with previously unknown transcripts and functions. To investigate the characteristics of neural transcriptomes and possible functions of previously unknown transcripts, we analyzed and compared nine recent RNA-seq datasets corresponding to tissues/organs ranging from stem cell, embryonic brain cortex to adult whole brain. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| China | 2 | 5% |
| Japan | 2 | 5% |
| Romania | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 33 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 36% |
| Student > Ph. D. Student | 10 | 24% |
| Professor > Associate Professor | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 55% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Immunology and Microbiology | 3 | 7% |
| Mathematics | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 4 | 10% |
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 11 October 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from BMC Genomics
#6,657
of 10,607 outputs
Outputs of similar age
#94,327
of 136,065 outputs
Outputs of similar age from BMC Genomics
#59
of 91 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 136,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.