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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid low dose electron tomography using a direct electron detection camera
|
|---|---|
| Published in |
Scientific Reports, October 2015
|
| DOI | 10.1038/srep14516 |
| Pubmed ID | |
| Authors |
Vadim Migunov, Henning Ryll, Xiaodong Zhuge, Martin Simson, Lothar Strüder, K. Joost Batenburg, Lothar Houben, Rafal E. Dunin-Borkowski |
| Abstract |
We demonstrate the ability to record a tomographic tilt series containing 3487 images in only 3.5 s by using a direct electron detector in a transmission electron microscope. The electron dose is lower by at least one order of magnitude when compared with that used to record a conventional tilt series of fewer than 100 images in 15-60 minutes and the overall signal-to-noise ratio is greater than 4. Our results, which are illustrated for an inorganic nanotube, are important for ultra-low-dose electron tomography of electron-beam-sensitive specimens and real-time dynamic electron tomography of nanoscale objects with sub-ms temporal resolution. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 23% |
| Researcher | 18 | 23% |
| Student > Master | 6 | 8% |
| Professor | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 23 | 30% |
| Physics and Astronomy | 14 | 18% |
| Engineering | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 5 | 6% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 79. 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 06 July 2022.
All research outputs
#454,940
of 22,792,160 outputs
Outputs from Scientific Reports
#5,134
of 123,035 outputs
Outputs of similar age
#7,208
of 277,422 outputs
Outputs of similar age from Scientific Reports
#113
of 2,351 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,035 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 particularly well, scoring higher than 95% 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 277,422 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 97% of its contemporaries.
We're also able to compare this research output to 2,351 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 95% of its contemporaries.