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Mendeley readers
Attention Score in Context
Title |
A critical assessment of Mus musculusgene function prediction using integrated genomic evidence
|
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Published in |
Genome Biology, June 2008
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DOI | 10.1186/gb-2008-9-s1-s2 |
Pubmed ID | |
Authors |
Lourdes Peña-Castillo, Murat Tasan, Chad L Myers, Hyunju Lee, Trupti Joshi, Chao Zhang, Yuanfang Guan, Michele Leone, Andrea Pagnani, Wan Kyu Kim, Chase Krumpelman, Weidong Tian, Guillaume Obozinski, Yanjun Qi, Sara Mostafavi, Guan Ning Lin, Gabriel F Berriz, Francis D Gibbons, Gert Lanckriet, Jian Qiu, Charles Grant, Zafer Barutcuoglu, David P Hill, David Warde-Farley, Chris Grouios, Debajyoti Ray, Judith A Blake, Minghua Deng, Michael I Jordan, William S Noble, Quaid Morris, Judith Klein-Seetharaman, Ziv Bar-Joseph, Ting Chen, Fengzhu Sun, Olga G Troyanskaya, Edward M Marcotte, Dong Xu, Timothy R Hughes, Frederick P Roth |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 5% |
Italy | 4 | 2% |
United Kingdom | 4 | 2% |
Brazil | 3 | 2% |
Canada | 3 | 2% |
Belgium | 2 | 1% |
Finland | 1 | <1% |
Slovenia | 1 | <1% |
Germany | 1 | <1% |
Other | 2 | 1% |
Unknown | 140 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 55 | 33% |
Researcher | 34 | 20% |
Professor > Associate Professor | 16 | 9% |
Student > Bachelor | 13 | 8% |
Student > Master | 12 | 7% |
Other | 27 | 16% |
Unknown | 12 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 76 | 45% |
Computer Science | 30 | 18% |
Biochemistry, Genetics and Molecular Biology | 25 | 15% |
Medicine and Dentistry | 6 | 4% |
Mathematics | 3 | 2% |
Other | 14 | 8% |
Unknown | 15 | 9% |
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 20 November 2012.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Genome Biology
#3,537
of 4,520 outputs
Outputs of similar age
#35,575
of 100,614 outputs
Outputs of similar age from Genome Biology
#23
of 42 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 14th percentile – i.e., 14% 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 100,614 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 42 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.