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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An expansive human regulatory lexicon encoded in transcription factor footprints
|
|---|---|
| Published in |
Nature, September 2012
|
| DOI | 10.1038/nature11212 |
| Pubmed ID | |
| Authors |
Shane Neph, Jeff Vierstra, Andrew B. Stergachis, Alex P. Reynolds, Eric Haugen, Benjamin Vernot, Robert E. Thurman, Sam John, Richard Sandstrom, Audra K. Johnson, Matthew T. Maurano, Richard Humbert, Eric Rynes, Hao Wang, Shinny Vong, Kristen Lee, Daniel Bates, Morgan Diegel, Vaughn Roach, Douglas Dunn, Jun Neri, Anthony Schafer, R. Scott Hansen, Tanya Kutyavin, Erika Giste, Molly Weaver, Theresa Canfield, Peter Sabo, Miaohua Zhang, Gayathri Balasundaram, Rachel Byron, Michael J. MacCoss, Joshua M. Akey, M. A. Bender, Mark Groudine, Rajinder Kaul, John A. Stamatoyannopoulos |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 29% |
| United States | 2 | 29% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,752 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 63 | 4% |
| Germany | 18 | 1% |
| United Kingdom | 17 | <1% |
| Spain | 15 | <1% |
| France | 10 | <1% |
| Netherlands | 8 | <1% |
| Sweden | 6 | <1% |
| Canada | 6 | <1% |
| Japan | 5 | <1% |
| Other | 50 | 3% |
| Unknown | 1554 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 491 | 28% |
| Student > Ph. D. Student | 481 | 27% |
| Student > Master | 158 | 9% |
| Student > Bachelor | 111 | 6% |
| Professor > Associate Professor | 98 | 6% |
| Other | 296 | 17% |
| Unknown | 117 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 957 | 55% |
| Biochemistry, Genetics and Molecular Biology | 330 | 19% |
| Medicine and Dentistry | 99 | 6% |
| Computer Science | 80 | 5% |
| Neuroscience | 22 | 1% |
| Other | 108 | 6% |
| Unknown | 156 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 64. 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 29 March 2024.
All research outputs
#623,893
of 24,226,848 outputs
Outputs from Nature
#25,111
of 94,515 outputs
Outputs of similar age
#3,201
of 171,873 outputs
Outputs of similar age from Nature
#348
of 995 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 94,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.4. This one has gotten more attention than average, scoring higher than 73% 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 171,873 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 98% of its contemporaries.
We're also able to compare this research output to 995 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.