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NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods

Overview of attention for article published in Molecular and Cellular Proteomics, October 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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40 tweeters
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 Gruber, Chun Shao, Joseph Zaia, Waltraud Evers, Stuart Pangelley, 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 Pučić-Baković, Jerko Štambuk, Gordan Lauc, Xu Li, Peng George Wang, Andreas Bock, René Hennig, Erdmann Rapp, Marybeth Creskey, Terry Cyr, Miyako Nakano, Taiki Sugiyama, Pui‑King Amy Leung, Paweł Link‑Lenczowski, Jolanta Jaworek, Shuang Jake Yang, Hui Zhang, Tim Kelly, Song Klapoetke, Rui Cao, Jin Young Kim, Hyun Kyung Lee, Juyeon 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 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, CT Yuen, Akira Harazono, Xiaofeng Shi, Paula Magnelli, Brian T Kasper, Lara K. Mahal, David J. Harvey, Roisin Majella 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 W. Cairo, Bela Reiz, Randy M Whittal, Carlito Lebrilla, Lauren D. Wu, Andras Guttman, Marton Szigeti, Benjamin G. Kremkow, Kelvin 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, Rob Haselberg, Ying Qing Yu, William Alley, Joseph W. Leone, Hua Yuan, Stephen E. Stein

Twitter Demographics

The data shown below were collected from the profiles of 40 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 12 November 2019.
All research outputs
#681,995
of 13,778,239 outputs
Outputs from Molecular and Cellular Proteomics
#74
of 2,494 outputs
Outputs of similar age
#19,784
of 231,858 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#3
of 47 outputs
Altmetric has tracked 13,778,239 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 2,494 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 231,858 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 91% of its contemporaries.
We're also able to compare this research output to 47 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 93% of its contemporaries.