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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Oil-free hyaluronic acid matrix for serial femtosecond crystallography
|
|---|---|
| Published in |
Scientific Reports, April 2016
|
| DOI | 10.1038/srep24484 |
| Pubmed ID | |
| Authors |
Michihiro Sugahara, Changyong Song, Mamoru Suzuki, Tetsuya Masuda, Shigeyuki Inoue, Takanori Nakane, Fumiaki Yumoto, Eriko Nango, Rie Tanaka, Kensuke Tono, Yasumasa Joti, Takashi Kameshima, Takaki Hatsui, Makina Yabashi, Osamu Nureki, Keiji Numata, So Iwata |
| Abstract |
The grease matrix was originally introduced as a microcrystal-carrier for serial femtosecond crystallography and has been expanded to applications for various types of proteins, including membrane proteins. However, the grease-based matrix has limited application for oil-sensitive proteins. Here we introduce a grease-free, water-based hyaluronic acid matrix. Applications for proteinase K and lysozyme proteins were able to produce electron density maps at 2.3-Å resolution. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 30% |
| Student > Ph. D. Student | 9 | 17% |
| Professor > Associate Professor | 5 | 9% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 23% |
| Biochemistry, Genetics and Molecular Biology | 11 | 21% |
| Chemistry | 9 | 17% |
| Physics and Astronomy | 6 | 11% |
| Materials Science | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 12 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 June 2016.
All research outputs
#3,129,336
of 22,865,319 outputs
Outputs from Scientific Reports
#26,719
of 123,469 outputs
Outputs of similar age
#52,212
of 299,111 outputs
Outputs of similar age from Scientific Reports
#675
of 3,012 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 78% 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 299,111 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 82% of its contemporaries.
We're also able to compare this research output to 3,012 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.