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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dramatic expansion of the black widow toxin arsenal uncovered by multi-tissue transcriptomics and venom proteomics
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-366 |
| Pubmed ID | |
| Authors |
Robert A Haney, Nadia A Ayoub, Thomas H Clarke, Cheryl Y Hayashi, Jessica E Garb |
| Abstract |
Animal venoms attract enormous interest given their potential for pharmacological discovery and understanding the evolution of natural chemistries. Next-generation transcriptomics and proteomics provide unparalleled, but underexploited, capabilities for venom characterization. We combined multi-tissue RNA-Seq with mass spectrometry and bioinformatic analyses to determine venom gland specific transcripts and venom proteins from the Western black widow spider (Latrodectus hesperus) and investigated their evolution. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| France | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Spain | 1 | 1% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 81 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Student > Master | 14 | 16% |
| Researcher | 13 | 15% |
| Student > Bachelor | 12 | 14% |
| Professor | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 30% |
| Biochemistry, Genetics and Molecular Biology | 21 | 24% |
| Medicine and Dentistry | 6 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Chemistry | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 19 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 2015.
All research outputs
#1,453,344
of 22,757,090 outputs
Outputs from BMC Genomics
#318
of 10,637 outputs
Outputs of similar age
#15,582
of 228,651 outputs
Outputs of similar age from BMC Genomics
#7
of 210 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% 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 228,651 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 93% of its contemporaries.
We're also able to compare this research output to 210 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.