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Mendeley readers
Attention Score in Context
Title |
XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
|
---|---|
Published in |
BMC Bioinformatics, October 2014
|
DOI | 10.1186/1471-2105-15-s11-s16 |
Pubmed ID | |
Authors |
Mihir Jaiswal, Nathaniel Mark Crabtree, Michael A Bauer, Roger Hall, Kevin D Raney, Boris L Zybailov |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 26% |
Student > Ph. D. Student | 7 | 21% |
Student > Master | 5 | 15% |
Student > Bachelor | 4 | 12% |
Professor | 2 | 6% |
Other | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 38% |
Computer Science | 6 | 18% |
Chemistry | 5 | 15% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Engineering | 2 | 6% |
Other | 2 | 6% |
Unknown | 2 | 6% |
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 24 October 2014.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from BMC Bioinformatics
#6,845
of 7,273 outputs
Outputs of similar age
#216,605
of 259,774 outputs
Outputs of similar age from BMC Bioinformatics
#121
of 132 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 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 1st percentile – i.e., 1% 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 259,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.