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Mendeley readers
Attention Score in Context
| Title |
The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts *
|
|---|---|
| Published in |
Nucleic Acids Research, December 2007
|
| DOI | 10.1093/nar/gkm999 |
| Pubmed ID | |
| Authors |
Chisato Yamasaki, Katsuhiko Murakami, Yasuyuki Fujii, Yoshiharu Sato, Erimi Harada, Jun-ichi Takeda, Takayuki Taniya, Ryuichi Sakate, Shingo Kikugawa, Makoto Shimada, Motohiko Tanino, Kanako O Koyanagi, Roberto A Barrero, Craig Gough, Hong-Woo Chun, Takuya Habara, Hideki Hanaoka, Yosuke Hayakawa, Phillip B Hilton, Yayoi Kaneko, Masako Kanno, Yoshihiro Kawahara, Toshiyuki Kawamura, Akihiro Matsuya, Naoki Nagata, Kensaku Nishikata, Akiko Ogura Noda, Shin Nurimoto, Naomi Saichi, Hiroaki Sakai, Ryoko Sanbonmatsu, Rie Shiba, Mami Suzuki, Kazuhiko Takabayashi, Aiko Takahashi, Takuro Tamura, Masayuki Tanaka, Susumu Tanaka, Fusano Todokoro, Kaori Yamaguchi, Naoyuki Yamamoto, Toshihisa Okido, Jun Mashima, Aki Hashizume, Lihua Jin, Kyung-Bum Lee, Yi-Chueh Lin, Asami Nozaki, Katsunaga Sakai, Masahito Tada, Satoru Miyazaki, Takashi Makino, Hajime Ohyanagi, Naoki Osato, Nobuhiko Tanaka, Yoshiyuki Suzuki, Kazuho Ikeo, Naruya Saitou, Hideaki Sugawara, Claire O'Donovan, Tamara Kulikova, Eleanor Whitfield, Brian Halligan, Mary Shimoyama, Simon Twigger, Kei Yura, Kouichi Kimura, Tomohiro Yasuda, Tetsuo Nishikawa, Yutaka Akiyama, Chie Motono, Yuri Mukai, Hideki Nagasaki, Makiko Suwa, Paul Horton, Reiko Kikuno, Osamu Ohara, Doron Lancet, Eric Eveno, Esther Graudens, Sandrine Imbeaud, Marie Anne Debily, Yoshihide Hayashizaki, Clara Amid, Michael Han, Andreas Osanger, Toshinori Endo, Michael A Thomas, Mika Hirakawa, Wojciech Makalowski, Mitsuteru Nakao, Nam-Soon Kim, Hyang-Sook Yoo, Sandro J De Souza, Maria de Fatima Bonaldo, Yoshihito Niimura, Vladimir Kuryshev, Ingo Schupp, Stefan Wiemann, Matthew Bellgard, Masafumi Shionyu, Libin Jia, Danielle Thierry-Mieg, Jean Thierry-Mieg, Lukas Wagner, Qinghua Zhang, Mitiko Go, Shinsei Minoshima, Masafumi Ohtsubo, Kousuke Hanada, Peter Tonellato, Takao Isogai, Ji Zhang, Boris Lenhard, Sangsoo Kim, Zhu Chen, Ursula Hinz, Anne Estreicher, Kenta Nakai, Izabela Makalowska, Winston Hide, Nicola Tiffin, Laurens Wilming, Ranajit Chakraborty, Marcelo Bento Soares, Maria Luisa Chiusano, Yutaka Suzuki, Charles Auffray, Yumi Yamaguchi-Kabata, Takeshi Itoh, Teruyoshi Hishiki, Satoshi Fukuchi, Ken Nishikawa, Sumio Sugano, Nobuo Nomura, Yoshio Tateno, Tadashi Imanishi, Takashi Gojobori |
| Abstract |
Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource for human genes and transcripts. H-InvDB, originally developed as an integrated database of the human transcriptome based on extensive annotation of large sets of full-length cDNA (FLcDNA) clones, now provides annotation for 120 558 human mRNAs extracted from the International Nucleotide Sequence Databases (INSD), in addition to 54 978 human FLcDNAs, in the latest release H-InvDB_4.6. We mapped those human transcripts onto the human genome sequences (NCBI build 36.1) and determined 34 699 human gene clusters, which could define 34 057 (98.1%) protein-coding and 642 (1.9%) non-protein-coding loci; 858 (2.5%) transcribed loci overlapped with predicted pseudogenes. For all these transcripts and genes, we provide comprehensive annotation including gene structures, gene functions, alternative splicing variants, functional non-protein-coding RNAs, functional domains, predicted sub cellular localizations, metabolic pathways, predictions of protein 3D structure, mapping of SNPs and microsatellite repeat motifs, co-localization with orphan diseases, gene expression profiles, orthologous genes, protein-protein interactions (PPI) and annotation for gene families. The current H-InvDB annotation resources consist of two main views: Transcript view and Locus view and eight sub-databases: the DiseaseInfo Viewer, H-ANGEL, the Clustering Viewer, G-integra, the TOPO Viewer, Evola, the PPI view and the Gene family/group. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 3% |
| United States | 3 | 3% |
| Japan | 3 | 3% |
| Germany | 2 | 2% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 93 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 23% |
| Student > Ph. D. Student | 19 | 18% |
| Professor > Associate Professor | 15 | 14% |
| Professor | 14 | 13% |
| Other | 6 | 6% |
| Other | 19 | 18% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 44% |
| Biochemistry, Genetics and Molecular Biology | 20 | 19% |
| Medicine and Dentistry | 12 | 11% |
| Computer Science | 9 | 8% |
| Environmental Science | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 14 | 13% |
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 21 February 2011.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Nucleic Acids Research
#12,416
of 26,310 outputs
Outputs of similar age
#41,629
of 155,987 outputs
Outputs of similar age from Nucleic Acids Research
#77
of 196 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,310 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 24th percentile – i.e., 24% 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 155,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.