Division and Slope Factorization of p-Adic Polynomials
Association for Computing Machinery (ACM)
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Attention Score in Context
| Title |
Division and Slope Factorization of p-Adic Polynomials
|
|---|---|
| Published by |
arXiv, February 2016
|
| DOI | 10.1145/1235 |
| URN |
urn:nbn:se:liu:diva-176816
|
| ISBNs |
978-1-4503-2138-9, 978-1-4503-4352-7, 978-1-4503-4482-1, 978-1-4503-4427-2
|
| Authors |
Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone, Joel W. Reed, John R. Goodall, Ngoc Hoang, Gérard Duchamp, Hoang Ngoc Minh, Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar, Dezhi Fang, Duen Horng Chau, Muhammad Haris Mughees, Zhiyun Qian, Zubair Shafiq, Karishma Dash, Pan Hui, Shangguan, L, Dolière Francis Some, Nataliia Bielova, Tamara Rezk, Rajan, Ajitha, Noureddine, Adel, Stratis, Panagiotis, Steuwer, Michel, Remmelg, Toomas, Dubach, Christophe, Tzilis, Stavros, Sourdis, Ioannis, Vasilikos, V., Rodopoulos, D., Soudris, D., Stavros Tzilis, Ioannis Sourdis, V. Vasilikos, D. Rodopoulos, D. Soudris, Shahin, Mojtaba, Babar, Muhammad Ali, Zhu, Liming, Yost, Beth, Pfaff, Mark, Coblenz, Michael, Myers, Brad, Sunshine, Joshua, Aldrich, Jonathan, Weber, Sam, Patron, Matthew, Heeren, Melissa, Krueger, Shelley, Weidner, Ole, Atkinson, Malcolm, Barker, Adam, Filgueira Vicente, Rosa, Oppermann, Julian, Koch, Andreas, Reuter-Oppermann, Melanie, Sinnen, Oliver, Xavier Caruso, Jérémy Le Borgne, Petric, Jean, Bowes, David, Hall, Tracy, Christianson, Bruce, Baddoo, Nathan, Hira, Anandi, Boehm, Barry, Wen, Y, zhang, W, Luo, R, Wang, J, Casale, G, Chandrayee Basu, Qian Yang, David Hungerman, Mukesh Singhal, Anca D. Dragan, Dolière Francis Somé, Jim Newton, Didier Verna, Maximilien Colange, Yström, Clara, Stenborg, Alfred, Jun Rekimoto |
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X Demographics
The data shown below were collected from the profiles of 51 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 9 | 18% |
| United States | 5 | 10% |
| Canada | 3 | 6% |
| India | 2 | 4% |
| United Kingdom | 2 | 4% |
| Sweden | 1 | 2% |
| Poland | 1 | 2% |
| Italy | 1 | 2% |
| Nigeria | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 23 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 84% |
| Scientists | 8 | 16% |
Mendeley demographics
The data shown below were compiled from readership statistics for 1,787 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1787 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 257 | 14% |
| Student > Master | 221 | 12% |
| Student > Bachelor | 119 | 7% |
| Researcher | 105 | 6% |
| Student > Doctoral Student | 72 | 4% |
| Other | 225 | 13% |
| Unknown | 788 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 602 | 34% |
| Engineering | 150 | 8% |
| Business, Management and Accounting | 33 | 2% |
| Social Sciences | 25 | 1% |
| Psychology | 15 | <1% |
| Other | 143 | 8% |
| Unknown | 819 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 08 July 2025.
All research outputs
#659,711
of 33,130,212 outputs
Outputs from arXiv
#9,026
of 1,460,183 outputs
Outputs of similar age
#9,571
of 442,322 outputs
Outputs of similar age from arXiv
#71
of 11,526 outputs
Altmetric has tracked 33,130,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,460,183 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 442,322 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 97% of its contemporaries.
We're also able to compare this research output to 11,526 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 99% of its contemporaries.