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X Demographics
Mendeley readers
Attention Score in Context
| Title |
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data
|
|---|---|
| Published in |
BMC Bioinformatics, September 2019
|
| DOI | 10.1186/s12859-019-3010-3 |
| Pubmed ID | |
| Authors |
Paul Müller, Shada Abuhattum, Stephanie Möllmert, Elke Ulbricht, Anna V. Taubenberger, Jochen Guck |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 14% |
| United Kingdom | 3 | 14% |
| France | 1 | 5% |
| United Arab Emirates | 1 | 5% |
| United States | 1 | 5% |
| India | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 10 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 52% |
| Members of the public | 9 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Researcher | 10 | 16% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 19 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 7 | 11% |
| Materials Science | 7 | 11% |
| Engineering | 6 | 10% |
| Agricultural and Biological Sciences | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Other | 13 | 21% |
| Unknown | 21 | 33% |
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 31 July 2021.
All research outputs
#2,922,863
of 24,647,023 outputs
Outputs from BMC Bioinformatics
#889
of 7,565 outputs
Outputs of similar age
#57,832
of 345,991 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 95 outputs
Altmetric has tracked 24,647,023 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 7,565 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 well, scoring higher than 88% 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 345,991 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 83% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.