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Genome annotation of Anopheles gambiae using mass spectrometry-derived data

Overview of attention for article published in BMC Genomics, September 2005
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1 tweeter

Citations

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Readers on

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41 Mendeley
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1 CiteULike
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Title
Genome annotation of Anopheles gambiae using mass spectrometry-derived data
Published in
BMC Genomics, September 2005
DOI 10.1186/1471-2164-6-128
Pubmed ID
Authors

Dário E Kalume, Suraj Peri, Raghunath Reddy, Jun Zhong, Mobolaji Okulate, Nirbhay Kumar, Akhilesh Pandey

Abstract

A large number of animal and plant genomes have been completely sequenced over the last decade and are now publicly available. Although genomes can be rapidly sequenced, identifying protein-coding genes still remains a problematic task. Availability of protein sequence data allows direct confirmation of protein-coding genes. Mass spectrometry has recently emerged as a powerful tool for proteomic studies. Protein identification using mass spectrometry is usually carried out by searching against databases of known proteins or transcripts. This approach generally does not allow identification of proteins that have not yet been predicted or whose transcripts have not been identified.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 5%
Kenya 1 2%
France 1 2%
New Zealand 1 2%
Senegal 1 2%
Unknown 35 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 32%
Student > Ph. D. Student 8 20%
Student > Master 5 12%
Professor 3 7%
Other 3 7%
Other 6 15%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 54%
Computer Science 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Medicine and Dentistry 2 5%
Engineering 2 5%
Other 4 10%
Unknown 5 12%

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 15 April 2014.
All research outputs
#9,083,282
of 11,346,162 outputs
Outputs from BMC Genomics
#5,307
of 6,796 outputs
Outputs of similar age
#126,224
of 185,976 outputs
Outputs of similar age from BMC Genomics
#150
of 207 outputs
Altmetric has tracked 11,346,162 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 6,796 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 11th percentile – i.e., 11% 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 185,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.