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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide identification, characterization, and expression analysis of lineage-specific genes within zebrafish
|
|---|---|
| Published in |
BMC Genomics, January 2013
|
| DOI | 10.1186/1471-2164-14-65 |
| Pubmed ID | |
| Authors |
Liandong Yang, Ming Zou, Beide Fu, Shunping He |
| Abstract |
The genomic basis of teleost phenotypic complexity remains obscure, despite increasing availability of genome and transcriptome sequence data. Fish-specific genome duplication cannot provide sufficient explanation for the morphological complexity of teleosts, considering the relatively large number of extinct basal ray-finned fishes. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
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 | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 30% |
| Student > Ph. D. Student | 16 | 23% |
| Student > Master | 7 | 10% |
| Professor > Associate Professor | 6 | 9% |
| Student > Bachelor | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 49% |
| Biochemistry, Genetics and Molecular Biology | 21 | 30% |
| Computer Science | 1 | 1% |
| Earth and Planetary Sciences | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 11 | 16% |
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 31 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from BMC Genomics
#9,242
of 10,616 outputs
Outputs of similar age
#249,320
of 282,272 outputs
Outputs of similar age from BMC Genomics
#325
of 367 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 282,272 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.