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X Demographics
Mendeley readers
Attention Score in Context
| Title |
De Novo sequencing and transcriptome analysis for Tetramorium bicarinatum: a comprehensive venom gland transcriptome analysis from an ant species
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-987 |
| Pubmed ID | |
| Authors |
Wafa Bouzid, Marion Verdenaud, Christophe Klopp, Frédéric Ducancel, Céline Noirot, Angélique Vétillard |
| Abstract |
Arthropod venoms are invaluable sources of bioactive substances with biotechnological application. The limited availability of some venoms, such as those from ants, has restricted the knowledge about the composition and the potential that these biomolecules could represent. In order to provide a global insight on the transcripts expressed in the venom gland of the Brazilian ant species Tetramorium bicarinatum and to unveil the potential of its products, high-throughput approach using Illumina technology has been applied to analyze the genes expressed in active venom glands of this ant species. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Sweden | 1 | 1% |
| Denmark | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 73 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Student > Master | 9 | 12% |
| Researcher | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 5 | 6% |
| Other | 16 | 21% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 39% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 26 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 January 2020.
All research outputs
#4,456,706
of 22,771,140 outputs
Outputs from BMC Genomics
#1,824
of 10,641 outputs
Outputs of similar age
#64,805
of 362,492 outputs
Outputs of similar age from BMC Genomics
#39
of 265 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 362,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.