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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enabling adoption of 2D-NMR for the higher order structure assessment of monoclonal antibody therapeutics
|
|---|---|
| Published in |
mAbs, December 2018
|
| DOI | 10.1080/19420862.2018.1544454 |
| Pubmed ID | |
| Authors |
Robert G. Brinson, John P. Marino, Frank Delaglio, Luke W. Arbogast, Ryan M. Evans, Anthony Kearsley, Geneviève Gingras, Houman Ghasriani, Yves Aubin, Gregory K. Pierens, Xinying Jia, Mehdi Mobli, Hamish G. Grant, David W. Keizer, Kristian Schweimer, Jonas Ståhle, Göran Widmalm, Edward R. Zartler, Chad W. Lawrence, Patrick N. Reardon, John R. Cort, Ping Xu, Feng Ni, Saeko Yanaka, Koichi Kato, Stuart R. Parnham, Desiree Tsao, Andreas Blomgren, Torgny Rundlöf, Nils Trieloff, Peter Schmieder, Alfred Ross, Ken Skidmore, Kang Chen, David Keire, Darón I. Freedberg, Thea Suter-Stahel, Gerhard Wider, Gregor Ilc, Janez Plavec, Scott A. Bradley, Donna M. Baldisseri, Mauricio Luis Sforça, Ana Carolina de Mattos Zeri, Julie Yu Wei, Christina M. Szabo, Carlos A. Amezcua, John B. Jordan, Mats Wikström |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| United Kingdom | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 32% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 8 | 8% |
| Professor | 3 | 3% |
| Other | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 19% |
| Biochemistry, Genetics and Molecular Biology | 18 | 17% |
| Agricultural and Biological Sciences | 9 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Physics and Astronomy | 2 | 2% |
| Other | 10 | 10% |
| Unknown | 40 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 May 2019.
All research outputs
#7,008,067
of 23,120,280 outputs
Outputs from mAbs
#642
of 1,153 outputs
Outputs of similar age
#143,329
of 436,262 outputs
Outputs of similar age from mAbs
#11
of 23 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,153 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 436,262 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 23 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 52% of its contemporaries.