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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The central nervous system transcriptome of the weakly electric brown ghost knifefish (Apteronotus leptorhynchus): de novo assembly, annotation, and proteomics validation
|
|---|---|
| Published in |
BMC Genomics, March 2015
|
| DOI | 10.1186/s12864-015-1354-2 |
| Pubmed ID | |
| Authors |
Joseph P Salisbury, Ruxandra F Sîrbulescu, Benjamin M Moran, Jared R Auclair, Günther KH Zupanc, Jeffrey N Agar |
| Abstract |
The brown ghost knifefish (Apteronotus leptorhynchus) is a weakly electric teleost fish of particular interest as a versatile model system for a variety of research areas in neuroscience and biology. The comprehensive information available on the neurophysiology and neuroanatomy of this organism has enabled significant advances in such areas as the study of the neural basis of behavior, the development of adult-born neurons in the central nervous system and their involvement in the regeneration of nervous tissue, as well as brain aging and senescence. Despite substantial scientific interest in this species, no genomic resources are currently available. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 18% |
| Researcher | 9 | 16% |
| Professor > Associate Professor | 6 | 11% |
| Student > Master | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Other | 10 | 18% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 37% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Neuroscience | 4 | 7% |
| Unspecified | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 15 | 26% |
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 30 November 2017.
All research outputs
#6,039,212
of 22,794,367 outputs
Outputs from BMC Genomics
#2,523
of 10,648 outputs
Outputs of similar age
#68,778
of 259,193 outputs
Outputs of similar age from BMC Genomics
#73
of 290 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 259,193 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 73% of its contemporaries.
We're also able to compare this research output to 290 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 74% of its contemporaries.