| Title |
A cricket Gene Index: a genomic resource for studying neurobiology, speciation, and molecular evolution
|
|---|---|
| Published in |
BMC Genomics, April 2007
|
| DOI | 10.1186/1471-2164-8-109 |
| Pubmed ID | |
| Authors |
Patrick D Danley, Sean P Mullen, Fenglong Liu, Vishvanath Nene, John Quackenbush, Kerry L Shaw |
| Abstract |
As the developmental costs of genomic tools decline, genomic approaches to non-model systems are becoming more feasible. Many of these systems may lack advanced genetic tools but are extremely valuable models in other biological fields. Here we report the development of expressed sequence tags (EST's) in an orthopteroid insect, a model for the study of neurobiology, speciation, and evolution. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Unknown | 60 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Researcher | 16 | 25% |
| Professor > Associate Professor | 7 | 11% |
| Professor | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 57% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Medicine and Dentistry | 4 | 6% |
| Neuroscience | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 10 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 10 July 2017.
All research outputs
#2,655,879
of 25,374,647 outputs
Outputs from BMC Genomics
#759
of 11,244 outputs
Outputs of similar age
#6,246
of 86,818 outputs
Outputs of similar age from BMC Genomics
#1
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 86,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.