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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, October 2019
|
| DOI | 10.1074/mcp.ra119.001677 |
| Pubmed ID | |
| Authors |
Maria Lorna A. De Leoz, David L. Duewer, Adam Fung, Lily Liu, Hoi Kei Yau, Oscar Potter, Gregory O. Staples, Kenichiro Furuki, Ruth Frenkel, Yunli Hu, Zoran Sosic, Peiqing Zhang, Friedrich Altmann, Clemens Grunwald-Grube, Chun Shao, Joseph Zaia, Waltraud Evers, Stuart Pengelley, Detlev Suckau, Anja Wiechmann, Anja Resemann, Wolfgang Jabs, Alain Beck, John W. Froehlich, Chuncui Huang, Yan Li, Yaming Liu, Shiwei Sun, Yaojun Wang, Youngsuk Seo, Hyun Joo An, Niels-Christian Reichardt, Juan Echevarria Ruiz, Stephanie Archer-Hartmann, Parastoo Azadi, Len Bell, Zsuzsanna Lakos, Yanming An, John F. Cipollo, Maja Pucic-Bakovic, Jerko Štambuk, Gordan Lauc, Xu Li, Peng George Wang, Andreas Bock, René Hennig, Erdmann Rapp, Marybeth Creskey, Terry D. Cyr, Miyako Nakano, Taiki Sugiyama, Pui-King Amy Leung, Paweł Link-Lenczowski, Jolanta Jaworek, Shuang Yang, Hui Zhang, Tim Kelly, Song Klapoetke, Rui Cao, Jin Young Kim, Hyun Kyoung Lee, Ju Yeon Lee, Jong Shin Yoo, Sa-Rang Kim, Soo-Kyung Suh, Noortje de Haan, David Falck, Guinevere S.M. Lageveen-Kammeijer, Manfred Wuhrer, Robert J. Emery, Radoslaw P. Kozak, Li Phing Liew, Louise Royle, Paulina A. Urbanowicz, Nicolle H. Packer, Xiaomin Song, Arun Everest-Dass, Erika Lattová, Samanta Cajic, Kathirvel Alagesan, Daniel Kolarich, Toyin Kasali, Viv Lindo, Yuetian Chen, Kudrat Goswami, Brian Gau, Ravi Amunugama, Richard Jones, Corné J.M. Stroop, Koichi Kato, Hirokazu Yagi, Sachiko Kondo, C.T. Yuen, Akira Harazono, Xiaofeng Shi, Paula E. Magnelli, Brian T. Kasper, Lara Mahal, David J. Harvey, Roisin O'Flaherty, Pauline M. Rudd, Radka Saldova, Elizabeth S. Hecht, David C. Muddiman, Jichao Kang, Prachi Bhoskar, Daniele Menard, Andrew Saati, Christine Merle, Steven Mast, Sam Tep, Jennie Truong, Takashi Nishikaze, Sadanori Sekiya, Aaron Shafer, Sohei Funaoka, Masaaki Toyoda, Peter de Vreugd, Cassie Caron, Pralima Pradhan, Niclas Chiang Tan, Yehia Mechref, Sachin Patil, Jeffrey S. Rohrer, Ranjan Chakrabarti, Disha Dadke, Mohammedazam Lahori, Chunxia Zou, Christopher Cairo, Béla Reiz, Randy M. Whittal, Carlito B. Lebrilla, Lauren Wu, Andras Guttman, Marton Szigeti, Benjamin G. Kremkow, Kelvin H. Lee, Carina Sihlbom, Barbara Adamczyk, Chunsheng Jin, Niclas G. Karlsson, Jessica Örnros, Göran Larson, Jonas Nilsson, Bernd Meyer, Alena Wiegandt, Emy Komatsu, Helene Perreault, Edward D. Bodnar, Nassur Said, Yannis-Nicolas Francois, Emmanuelle Leize-Wagner, Sandra Maier, Anne Zeck, Albert J.R. Heck, Yang Yang, Rob Haselberg, Ying Qing Yu, William Alley, Joseph W. Leone, Hua Yuan, Stephen E. Stein |
X Demographics
The data shown below were collected from the profiles of 46 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 | 8 | 17% |
| United Kingdom | 5 | 11% |
| Mexico | 2 | 4% |
| Australia | 2 | 4% |
| Croatia | 2 | 4% |
| Ireland | 2 | 4% |
| Poland | 2 | 4% |
| Germany | 2 | 4% |
| India | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 16 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 57% |
| Scientists | 18 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 20% |
| Student > Ph. D. Student | 20 | 14% |
| Professor | 10 | 7% |
| Student > Bachelor | 10 | 7% |
| Professor > Associate Professor | 8 | 6% |
| Other | 21 | 15% |
| Unknown | 44 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 21% |
| Chemistry | 26 | 18% |
| Agricultural and Biological Sciences | 8 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
| Chemical Engineering | 4 | 3% |
| Other | 11 | 8% |
| Unknown | 55 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 72. 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 22 April 2021.
All research outputs
#609,771
of 25,756,911 outputs
Outputs from Molecular and Cellular Proteomics
#31
of 3,245 outputs
Outputs of similar age
#13,232
of 366,669 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#3
of 39 outputs
Altmetric has tracked 25,756,911 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 3,245 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 366,669 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 particularly well, scoring higher than 92% of its contemporaries.