f*******l
发帖数: 1604 | 1 www.uniprot.org和www.genecards.org输入蛋白名字，就可以看到自己的文章在
reference里，这个有用没？值不值得一提？好像是个相关文章都有在那，管你是大米
还是垃圾。不过这两个数据库倒是算很大的数据库，需要拿来吹吗？还是最好不提，免
得反砸了脚？ |
c******g
发帖数: 9273 | 2 提
【在 f*******l 的大作中提到】
: www.uniprot.org和www.genecards.org输入蛋白名字，就可以看到自己的文章在
: reference里，这个有用没？值不值得一提？好像是个相关文章都有在那，管你是大米
: 还是垃圾。不过这两个数据库倒是算很大的数据库，需要拿来吹吗？还是最好不提，免
: 得反砸了脚？
|
k******e
发帖数: 8870 | 3 i used them. it will depend on how you organize them. in my case, i
mentioned that out of xxxx papers on yyy topic, my article is one of the
only two recommended by zzzz database on yyy topic. then explained zzz
database is. good luck to you. |
f*******l
发帖数: 1604 | 4 How did you find out two recommended by zzzz database on yyy topic? I think
those database reference all articles on yyy topic. Please give me more
details. Thanks!
【在 k******e 的大作中提到】
: i used them. it will depend on how you organize them. in my case, i
: mentioned that out of xxxx papers on yyy topic, my article is one of the
: only two recommended by zzzz database on yyy topic. then explained zzz
: database is. good luck to you.
|
k******e
发帖数: 8870 | 5 well, in my case, i searched the database for the yyy topic and found only
two articles are cited. you definitely know how many papers are there on
topic yyy. |
f*******l
发帖数: 1604 | 6 where did you search for how many papers are there on topic yyy? from NCBI
Pubmed?
【在 k******e 的大作中提到】
: well, in my case, i searched the database for the yyy topic and found only
: two articles are cited. you definitely know how many papers are there on
: topic yyy.
|
k******e
发帖数: 8870 | 7 where ever you could find.
【在 f*******l 的大作中提到】
: where did you search for how many papers are there on topic yyy? from NCBI
: Pubmed?
|
f*******l
发帖数: 1604 | 8 for example, I imput protein name XXX in Pebmed, the result is 104 papers.
In Uniprot, the reference is 30 papers(I think the maximal is 30, because it
always shows 30), so my paper is one of 30 out of 104 papers recommended by
uniprot. Right?
【在 k******e 的大作中提到】
: where ever you could find.
|
k******e
发帖数: 8870 | 9 yes. but 30% does not look very promising though. |
f*******l
发帖数: 1604 | 10 You are right. This is in uniprot. If I search the same protein in the
genecards, the genecards shows all papers in Pubmed. do you have any good
idea about it? why does yours have only 2 cited? did you look for reference
or in fact you looked for other items?
【在 k******e 的大作中提到】
: yes. but 30% does not look very promising though.
|
|
|
k******e
发帖数: 8870 | 11 in my case,i search for a protein superfamily but not just a single protein.
and it happened that the database just cites two references but there are
thousands of proteins in this superfamily and thousands of papers around
there. so..... i am not sure about your case.
reference
【在 f*******l 的大作中提到】
: You are right. This is in uniprot. If I search the same protein in the
: genecards, the genecards shows all papers in Pubmed. do you have any good
: idea about it? why does yours have only 2 cited? did you look for reference
: or in fact you looked for other items?
|
f*******l
发帖数: 1604 | 12 You are genius! which database did you used? Uniprot or genecards? I think
it would be Uniprot, right? Genecards always links with pubmed.
protein.
【在 k******e 的大作中提到】
: in my case,i search for a protein superfamily but not just a single protein.
: and it happened that the database just cites two references but there are
: thousands of proteins in this superfamily and thousands of papers around
: there. so..... i am not sure about your case.
:
: reference
|
k******e
发帖数: 8870 | 13 i just google with different key words.google is an amazing tool.the tip is
to choose different key words. u might be surprised by the result from each
search.
【在 f*******l 的大作中提到】
: You are genius! which database did you used? Uniprot or genecards? I think
: it would be Uniprot, right? Genecards always links with pubmed.
:
: protein.
|
f*******l
发帖数: 1604 | |
f*******l
发帖数: 1604 | 15 How to explain Uniprot or Genecards is? I cannot find out how great they are
online. Could you pleae give me yours? Thanks!
【在 k******e 的大作中提到】
: i used them. it will depend on how you organize them. in my case, i
: mentioned that out of xxxx papers on yyy topic, my article is one of the
: only two recommended by zzzz database on yyy topic. then explained zzz
: database is. good luck to you.
|
k******e
发帖数: 8870 | 16 google google and google.....................................
http://www.uniprot.org/
http://www.uniprot.org/help/about
The mission of UniProt is to provide the scientific community with a
comprehensive, high-quality and freely accessible resource of protein
sequence and functional information.
highlight "comprehensive, high-quality and freely accessible" |
f*******l
发帖数: 1604 | |
c******g
发帖数: 9273 | 18 居然跟我一起的
【在 f*******l 的大作中提到】
: www.uniprot.org和www.genecards.org输入蛋白名字，就可以看到自己的文章在
: reference里，这个有用没？值不值得一提？好像是个相关文章都有在那，管你是大米
: 还是垃圾。不过这两个数据库倒是算很大的数据库，需要拿来吹吗？还是最好不提，免
: 得反砸了脚？
|
f*******l
发帖数: 1604 | 19 自从你被奔后，我就认出你了，嘿嘿。。。
【在 c******g 的大作中提到】
: 居然跟我一起的
|
