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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The iBeetle large-scale RNAi screen reveals gene functions for insect development and physiology
|
|---|---|
| Published in |
Nature Communications, July 2015
|
| DOI | 10.1038/ncomms8822 |
| Pubmed ID | |
| Authors |
Christian Schmitt-Engel, Dorothea Schultheis, Jonas Schwirz, Nadi Ströhlein, Nicole Troelenberg, Upalparna Majumdar, Van Anh Dao, Daniela Grossmann, Tobias Richter, Maike Tech, Jürgen Dönitz, Lizzy Gerischer, Mirko Theis, Inga Schild, Jochen Trauner, Nikolaus D. B. Koniszewski, Elke Küster, Sebastian Kittelmann, Yonggang Hu, Sabrina Lehmann, Janna Siemanowski, Julia Ulrich, Kristen A. Panfilio, Reinhard Schröder, Burkhard Morgenstern, Mario Stanke, Frank Buchhholz, Manfred Frasch, Siegfried Roth, Ernst A. Wimmer, Michael Schoppmeier, Martin Klingler, Gregor Bucher |
| Abstract |
Genetic screens are powerful tools to identify the genes required for a given biological process. However, for technical reasons, comprehensive screens have been restricted to very few model organisms. Therefore, although deep sequencing is revealing the genes of ever more insect species, the functional studies predominantly focus on candidate genes previously identified in Drosophila, which is biasing research towards conserved gene functions. RNAi screens in other organisms promise to reduce this bias. Here we present the results of the iBeetle screen, a large-scale, unbiased RNAi screen in the red flour beetle, Tribolium castaneum, which identifies gene functions in embryonic and postembryonic development, physiology and cell biology. The utility of Tribolium as a screening platform is demonstrated by the identification of genes involved in insect epithelial adhesion. This work transcends the restrictions of the candidate gene approach and opens fields of research not accessible in Drosophila. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 27% |
| Canada | 3 | 14% |
| Germany | 2 | 9% |
| United Kingdom | 1 | 5% |
| Switzerland | 1 | 5% |
| Japan | 1 | 5% |
| Australia | 1 | 5% |
| France | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 50% |
| Scientists | 10 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| United States | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 157 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 23% |
| Student > Ph. D. Student | 29 | 18% |
| Student > Master | 19 | 12% |
| Student > Bachelor | 19 | 12% |
| Other | 8 | 5% |
| Other | 26 | 16% |
| Unknown | 23 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 51% |
| Biochemistry, Genetics and Molecular Biology | 38 | 24% |
| Engineering | 2 | 1% |
| Computer Science | 2 | 1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 30 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 03 June 2019.
All research outputs
#782,416
of 24,552,012 outputs
Outputs from Nature Communications
#13,138
of 52,859 outputs
Outputs of similar age
#9,618
of 268,311 outputs
Outputs of similar age from Nature Communications
#160
of 799 outputs
Altmetric has tracked 24,552,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 52,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. 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 268,311 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 96% of its contemporaries.
We're also able to compare this research output to 799 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.