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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The utility of mass spectrometry-based proteomic data for validation of novel alternative splice forms reconstructed from RNA-Seq data: a preliminary assessment
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-s11-s14 |
| Pubmed ID | |
| Authors |
Kang Ning, Alexey I Nesvizhskii |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| Chile | 1 | 1% |
| Mexico | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 35% |
| Researcher | 16 | 19% |
| Student > Master | 7 | 8% |
| Student > Postgraduate | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Other | 11 | 13% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 45% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Chemistry | 5 | 6% |
| Computer Science | 4 | 5% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Other | 10 | 12% |
| Unknown | 13 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 January 2022.
All research outputs
#18,455,405
of 22,867,327 outputs
Outputs from BMC Bioinformatics
#6,329
of 7,295 outputs
Outputs of similar age
#160,832
of 181,033 outputs
Outputs of similar age from BMC Bioinformatics
#45
of 53 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 181,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.