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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks
|
|---|---|
| Published in |
BMC Genomics, December 2019
|
| DOI | 10.1186/s12864-019-6297-6 |
| Pubmed ID | |
| Authors |
Yang-Ming Lin, Ching-Tai Chen, Jia-Ming Chang |
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 % |
|---|---|---|
| Czechia | 3 | 50% |
| Japan | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Student > Ph. D. Student | 7 | 14% |
| Other | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 5 | 10% |
| Other | 8 | 16% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Chemistry | 7 | 14% |
| Computer Science | 4 | 8% |
| Agricultural and Biological Sciences | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 16 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 September 2020.
All research outputs
#13,674,509
of 24,226,848 outputs
Outputs from BMC Genomics
#4,621
of 10,925 outputs
Outputs of similar age
#211,332
of 465,416 outputs
Outputs of similar age from BMC Genomics
#90
of 257 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,925 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 465,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.