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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Highly sensitive feature detection for high resolution LC/MS
|
|---|---|
| Published in |
BMC Bioinformatics, November 2008
|
| DOI | 10.1186/1471-2105-9-504 |
| Pubmed ID | |
| Authors |
Ralf Tautenhahn, Christoph Böttcher, Steffen Neumann |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 17% |
| United States | 2 | 11% |
| Australia | 2 | 11% |
| Switzerland | 1 | 6% |
| India | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 7 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 879 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | <1% |
| Germany | 5 | <1% |
| United States | 4 | <1% |
| South Africa | 4 | <1% |
| Brazil | 3 | <1% |
| Austria | 3 | <1% |
| Portugal | 2 | <1% |
| Belgium | 2 | <1% |
| Italy | 2 | <1% |
| Other | 7 | <1% |
| Unknown | 839 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 232 | 26% |
| Researcher | 185 | 21% |
| Student > Master | 96 | 11% |
| Student > Bachelor | 80 | 9% |
| Student > Doctoral Student | 45 | 5% |
| Other | 123 | 14% |
| Unknown | 118 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 203 | 23% |
| Chemistry | 182 | 21% |
| Biochemistry, Genetics and Molecular Biology | 105 | 12% |
| Computer Science | 35 | 4% |
| Environmental Science | 33 | 4% |
| Other | 158 | 18% |
| Unknown | 163 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 21 January 2021.
All research outputs
#1,417,491
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#177
of 7,793 outputs
Outputs of similar age
#5,241
of 183,603 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 51 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 183,603 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 96% of its contemporaries.
We're also able to compare this research output to 51 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 96% of its contemporaries.