Title |
Optimization and testing of mass spectral library search algorithms for compound identification
|
---|---|
Published in |
Journal of the American Society for Mass Spectrometry, September 1994
|
DOI | 10.1016/1044-0305(94)87009-8 |
Pubmed ID | |
Authors |
Stephen E. Stein, Donald R. Scott |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 1 | 50% |
New Zealand | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | <1% |
Germany | 3 | <1% |
Austria | 2 | <1% |
United States | 2 | <1% |
Netherlands | 1 | <1% |
Switzerland | 1 | <1% |
Australia | 1 | <1% |
South Africa | 1 | <1% |
Sweden | 1 | <1% |
Other | 5 | 1% |
Unknown | 410 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 103 | 24% |
Researcher | 99 | 23% |
Student > Master | 46 | 11% |
Student > Bachelor | 40 | 9% |
Student > Doctoral Student | 22 | 5% |
Other | 51 | 12% |
Unknown | 70 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 122 | 28% |
Agricultural and Biological Sciences | 70 | 16% |
Biochemistry, Genetics and Molecular Biology | 35 | 8% |
Computer Science | 35 | 8% |
Engineering | 23 | 5% |
Other | 68 | 16% |
Unknown | 78 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 26 December 2023.
All research outputs
#2,214,545
of 25,711,518 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#80
of 3,876 outputs
Outputs of similar age
#519
of 20,062 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#1
of 10 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,876 research outputs from this source. They receive a mean Attention Score of 3.8. 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 20,062 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them