Google Scholar-based tool gives extra credit to first and last authors

A new browser extension aims to shake up the way researchers are credited for their work on Google Scholar. The tool, called GScholarLens, provides a weighted metric that takes into account an author's position in author lists. This means that corresponding authors - often the lead researcher behind a paper - receive the highest weighting, with 100% of citations attributed to them.

First authors and last authors follow closely behind, with 90% and 50% weighting respectively. However, researchers who contribute significantly but are not at the forefront of their papers - such as those in middle positions or collaborating on multiple projects - get a lower share.

The creators of GScholarLens believe that this weighted metric will help identify individuals who may be engaging in unethical practices, like paid authorship. By giving more weight to lead authors and fewer to collaborative contributors, the tool aims to provide a more nuanced picture of researchers' contributions.

However, not everyone is convinced that this approach is accurate. Alberto Martín-Martín, an information scientist, notes that simply assigning different weights doesn't capture the full complexity of authorship positions. He argues that the tool incorrectly assumes corresponding authors are always last in author lists, which often isn't the case.

Despite these criticisms, GScholarLens may still prove useful for researchers and institutions looking to create more fair and comprehensive evaluation systems. The tool's creators plan to tweak the weighting system based on user feedback, so it will be interesting to see how this project evolves over time.
 
I'm low-key obsessed with this new browser extension GScholarLens 🤯! It's like, finally someone is trying to give researchers more credit where it's due, you know? I mean, corresponding authors are literally the ones leading the charge on their papers, so it only makes sense they get the most weight. And I love that the tool is acknowledging the complexity of authorship positions - it's not just a simple one-size-fits-all approach.

But at the same time, I can see why some people might be skeptical about this weighted metric 🤔. I mean, what if someone in a middle position is actually doing all the heavy lifting? It's like, don't leave them hanging! But hey, GScholarLens seems to be taking steps in the right direction, and I'm all for it 👍.

One thing that's got me thinking, though: how can we make this tool even more accurate? Maybe they could incorporate some machine learning algorithms or something 🤖. The possibilities are endless!
 
🤔 I gotta say, this new browser extension is kinda genius - it's all about giving those leading researchers the props they deserve! 💪 Like, who doesn't want to recognize the real brains behind a paper? 😊 But at the same time, I can see why some folks might be skeptical... I mean, not everyone fits neatly into one position on an author list. It's like trying to fit a square peg into a round hole - it just don't always work out. 🤷‍♀️ Still, I think it's worth giving GScholarLens a shot and seeing how it plays out. Maybe they'll figure out that perfect balance between recognizing the big cheeses and giving credit where credit is due. Fingers crossed! 👍
 
I'm not sure I buy into this weighted metric thingy for GScholarLens 🤔. I mean, it sounds like they're trying to solve a problem that doesn't really exist... or at least, I don't think it's as simple as just giving more weight to the lead author and less to the collaborative contributors.

I've seen cases where the corresponding author is actually the first or last author on the list, depending on the journal or conference. And what about when there are multiple corresponding authors? How do they weigh those?

Plus, I'm not convinced that this weighted metric will catch all the bad guys who engage in paid authorship. There are plenty of other ways to game the system... and I think it's just too easy to find loopholes.

Still, I guess it's worth keeping an eye on how GScholarLens evolves. Maybe they'll listen to feedback and make some adjustments. 🤞
 
this is a super interesting development 🤔💡 i mean, think about it - a browser extension that helps researchers get more credit for their actual work? that's like, totally cool 😎 especially with the whole paid authorship thing, it's like, super unfair to all the other researchers out there who are just trying to do some good science. and i love how the creators of GScholarLens are already listening to feedback and tweaking things - that's just good business practice 📈
 
I'm low-key impressed by this new browser extension, GScholarLens! I mean, can you imagine being recognized for your work and having all those citations pointing directly to you? Sounds like a win-win for researchers who actually deserve the credit 💯. The idea of giving more weight to lead authors is genius - it's like being the Beyoncé of academia, slaying the game 🎶. But I'm also feeling some skepticism about this tool, just because it's not that easy to pinpoint someone's exact position in an author list. Like, what if they're actually the one hiding behind a team effort? Either way, I hope GScholarLens keeps getting tweaked and improved - who knows, maybe we'll see more fairness and less "ghostwriting" 💔.
 
this is a game changer for google scholar 🤯... think about it if you're a researcher trying to get published and your collaborator is just contributing a tiny bit to the paper but getting all the credit because of some backdoor system, this weight metric can actually give researchers like me who are working behind the scenes a fair chance to shine 🙌... i'm not saying it's perfect tho, gotta see how they tweak the weights and what kind of feedback they get from users 👀
 
🤔 I'm not sure about this new browser extension GScholarLens... I mean, can't we just stick with what we've been doing? Like, remember when citation counts were way more straightforward back in the day? No one had to worry about being last author or first author. We just wrote our papers and shared them with the world. Now it's all about "weighted metrics" and "author positions"... sounds like they're trying too hard to be fancy. And what's with this idea that lead authors get 100% of citations? That's just not how it works, right? I mean, have you ever read a paper where the last author is clearly the genius behind everything? Nope... usually it's some collaboration fest with like five or six authors. Anyway, I guess if they tweak the system to make it more accurate, GScholarLens might be okay. But for now, I'm just gonna stick with my trusty old citation counts 😊
 
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