| Title |
Molecular modeling, docking and dynamics simulations of GNA-related lectins for potential prevention of influenza virus (H1N1)
|
|---|---|
| Published in |
Journal of Molecular Modeling, March 2011
|
| DOI | 10.1007/s00894-011-1022-7 |
| Pubmed ID | |
| Authors |
Huai-long Xu, Chun-yang Li, Xue-mei He, Ke-qin Niu, Hao Peng, Wen-wen Li, Cheng-cheng Zhou, Jin-ku Bao |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Student > Postgraduate | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 53% |
| Chemistry | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Arts and Humanities | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 6 | 18% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 30 July 2019.
All research outputs
#2,898,568
of 25,605,018 outputs
Outputs from Journal of Molecular Modeling
#21
of 899 outputs
Outputs of similar age
#12,700
of 121,043 outputs
Outputs of similar age from Journal of Molecular Modeling
#1
of 17 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 899 research outputs from this source. They receive a mean Attention Score of 2.7. 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 121,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 17 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.