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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Transcription Factor Encyclopedia
|
|---|---|
| Published in |
Genome Biology, March 2012
|
| DOI | 10.1186/gb-2012-13-3-r24 |
| Pubmed ID | |
| Authors |
Dimas Yusuf, Stefanie L Butland, Magdalena I Swanson, Eugene Bolotin, Amy Ticoll, Warren A Cheung, Xiao Yu Cindy Zhang, Christopher TD Dickman, Debra L Fulton, Jonathan S Lim, Jake M Schnabl, Oscar HP Ramos, Mireille Vasseur-Cognet, Charles N de Leeuw, Elizabeth M Simpson, Gerhart U Ryffel, Eric W-F Lam, Ralf Kist, Miranda SC Wilson, Raquel Marco-Ferreres, Jan J Brosens, Leonardo L Beccari, Paola Bovolenta, Bérénice A Benayoun, Lara J Monteiro, Helma DC Schwenen, Lars Grontved, Elizabeth Wederell, Susanne Mandrup, Reiner A Veitia, Harini Chakravarthy, Pamela A Hoodless, M Michela Mancarelli, Bruce E Torbett, Alison H Banham, Sekhar P Reddy, Rebecca L Cullum, Michaela Liedtke, Mario P Tschan, Michelle Vaz, Angie Rizzino, Mariastella Zannini, Seth Frietze, Peggy J Farnham, Astrid Eijkelenboom, Philip J Brown, David Laperrière, Dominique Leprince, Tiziana de Cristofaro, Kelly L Prince, Marrit Putker, Luis del Peso, Gieri Camenisch, Roland H Wenger, Michal Mikula, Marieke Rozendaal, Sylvie Mader, Jerzy Ostrowski, Simon J Rhodes, Capucine Van Rechem, Gaylor Boulay, Sam WZ Olechnowicz, Mary B Breslin, Michael S Lan, Kyster K Nanan, Michael Wegner, Juan Hou, Rachel D Mullen, Stephanie C Colvin, Peter John Noy, Carol F Webb, Matthew E Witek, Scott Ferrell, Juliet M Daniel, Jason Park, Scott A Waldman, Daniel J Peet, Michael Taggart, Padma-Sheela Jayaraman, Julien J Karrich, Bianca Blom, Farhad Vesuna, Henriette O'Geen, Yunfu Sun, Richard M Gronostajski, Mark W Woodcroft, Margaret R Hough, Edwin Chen, G Nicholas Europe-Finner, Magdalena Karolczak-Bayatti, Jarrod Bailey, Oliver Hankinson, Venu Raman, David P LeBrun, Shyam Biswal, Christopher J Harvey, Jason P DeBruyne, John B Hogenesch, Robert F Hevner, Christophe Héligon, Xin M Luo, Marissa Cathleen Blank, Kathleen Joyce Millen, David S Sharlin, Douglas Forrest, Karin Dahlman-Wright, Chunyan Zhao, Yuriko Mishima, Satrajit Sinha, Rumela Chakrabarti, Elodie Portales-Casamar, Frances M Sladek, Philip H Bradley, Wyeth W Wasserman |
| Abstract |
Here we present the Transcription Factor Encyclopedia (TFe), a new web-based compendium of mini review articles on transcription factors (TFs) that is founded on the principles of open access and collaboration. Our consortium of over 100 researchers has collectively contributed over 130 mini review articles on pertinent human, mouse and rat TFs. Notable features of the TFe website include a high-quality PDF generator and web API for programmatic data retrieval. TFe aims to rapidly educate scientists about the TFs they encounter through the delivery of succinct summaries written and vetted by experts in the field. TFe is available at http://www.cisreg.ca/tfe. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| United Kingdom | 2 | 11% |
| China | 1 | 6% |
| France | 1 | 6% |
| Japan | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 4 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Sweden | 2 | <1% |
| Chile | 1 | <1% |
| Portugal | 1 | <1% |
| Switzerland | 1 | <1% |
| India | 1 | <1% |
| Other | 12 | 4% |
| Unknown | 237 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 75 | 28% |
| Student > Ph. D. Student | 56 | 21% |
| Student > Bachelor | 19 | 7% |
| Student > Master | 19 | 7% |
| Professor | 15 | 6% |
| Other | 46 | 17% |
| Unknown | 39 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 109 | 41% |
| Biochemistry, Genetics and Molecular Biology | 52 | 19% |
| Medicine and Dentistry | 31 | 12% |
| Computer Science | 12 | 4% |
| Neuroscience | 5 | 2% |
| Other | 14 | 5% |
| Unknown | 46 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 23 January 2014.
All research outputs
#1,152,578
of 25,374,647 outputs
Outputs from Genome Biology
#855
of 4,467 outputs
Outputs of similar age
#5,793
of 172,466 outputs
Outputs of similar age from Genome Biology
#6
of 39 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 80% 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 172,466 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 39 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.