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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format
|
|---|---|
| Published in |
BMC Bioinformatics, October 2020
|
| DOI | 10.1186/s12859-020-03789-8 |
| Pubmed ID | |
| Authors |
Stefania Alexandra Iakab, Lluc Sementé, María García-Altares, Xavier Correig, Pere Ràfols |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| United Kingdom | 2 | 15% |
| Germany | 2 | 15% |
| France | 1 | 8% |
| Sweden | 1 | 8% |
| India | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 69% |
| Members of the public | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 27% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 11 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Agricultural and Biological Sciences | 4 | 12% |
| Chemistry | 4 | 12% |
| Medicine and Dentistry | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 7 | 21% |
| Unknown | 9 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 October 2020.
All research outputs
#2,279,505
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#628
of 7,388 outputs
Outputs of similar age
#62,192
of 416,612 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 182 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,388 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 particularly well, scoring higher than 91% 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 416,612 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 85% of its contemporaries.
We're also able to compare this research output to 182 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 92% of its contemporaries.