You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2017
|
| DOI | 10.1186/s12859-017-1744-3 |
| Pubmed ID | |
| Authors |
Jeremy P. Koelmel, Nicholas M. Kroeger, Candice Z. Ulmer, John A. Bowden, Rainey E. Patterson, Jason A. Cochran, Christopher W. W. Beecher, Timothy J. Garrett, Richard A. Yost |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 251 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 24% |
| Researcher | 28 | 11% |
| Student > Master | 22 | 9% |
| Student > Bachelor | 18 | 7% |
| Student > Doctoral Student | 15 | 6% |
| Other | 37 | 15% |
| Unknown | 70 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 50 | 20% |
| Biochemistry, Genetics and Molecular Biology | 39 | 16% |
| Agricultural and Biological Sciences | 26 | 10% |
| Medicine and Dentistry | 8 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 3% |
| Other | 34 | 14% |
| Unknown | 86 | 34% |
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 03 April 2024.
All research outputs
#3,166,782
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#953
of 7,763 outputs
Outputs of similar age
#54,672
of 328,118 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 105 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 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 well, scoring higher than 87% 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 328,118 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 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.